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4 Crucial Points to Consider When Choosing a Data Science Business Case
4 Crucial Points to Consider When Choosing a Data Science Business Case Emails, social network posts, app logs, and photographs – given the volume and variety of data we generate on a daily basis, harnessing it seems like a natural solution to any business problem. With data science success stories aplenty, it's simple to understand this mindset: Customers are matched with products they are most likely to buy through recommendation engines in ecommerce. To detect scam attempts, financial services firms use fraud prevention algorithms. Manufacturers can utilise predictive analytics to accurately adjust supply to demand expectations. These are just a few instances of how data science services may help businesses. In actuality, data analytics has endless uses across all business sectors. However, while data-driven solutions can help businesses in any industry, their effectiveness should never be assumed. Academic Master is a US based writing company that provides thousands of free essays to the students all over the World. If you want your essay written by a highly professional writers, then you are in a right place. We have hundreds of highly skilled writers working 24/7 to provide quality  essay writing services  to the students all over the World Only 20% of data science projects will produce commercial outcomes by 2022, according to Gartner. Most of them aren't even guaranteed to make it to the level of production. This demonstrates that putting data science to use is a promising but dangerous venture. If a project isn't established on the appropriate premises, cost investments and technology alone won't be enough to turn data science discoveries into concrete commercial benefits. So, what exactly are these? Let's see what happens. Why do so many data science projects fall short of their goals? Although each project is unique, and failures are frequently the result of a series of blunders, some faults are widespread. Here are five things to consider before starting your data science project. Pre-assessment was inadequate. How long do you think the project should take? How much do you think it'll cost? Is the benefit greater than the risk? Unfortunately, when enticed by the promise of data science benefits, many business owners overlook these basic factors. The wrong questions are being asked You won't find the answers in data if you don't know what you're looking for or what problems you're trying to solve. Plunging into large amounts of data without a clear set of questions is a surefire way to kill your project from the start. There is no obvious commercial goal. The project's success will eventually be determined by the precise business outcomes it produces, regardless of how innovative it is. If you ignore business objectives, you may discover halfway through the project that your insights will have no impact on ROI. Problems with data Because the data you utilise is so important to the project, it can't be inconsistent, incomplete, low-quality, compartmentalised, or otherwise defective. Fixing these issues while the project is still in progress would inevitably stymie progress. Stakeholder engagement is low. The morale of your data science staff deteriorates when work drags on for weeks or months. The initial excitement wears off, stakeholders lose interest, and they move on to other initiatives. In the end, the project is abandoned due to a lack of support. All of the failures listed above have one thing in common: they occur or emanate from the project's early stages, before any actual work is completed. So, let's look at how you might avoid problems with case selection and planning. Begin by assessing the situation. The easy part is coming up with fresh data science use cases; the difficult part is deciding which one will go into production. A thorough examination of the possibilities simplifies the decision-making process. Begin by weighing the advantages of the many use cases you're investigating. Determine which ones will solve immediate company difficulties and which ones will promote growth. Be specific - if the project's goal is too broad, it'll almost certainly only appear nice on paper. Then, for each situation, determine the level of work required. This is an excellent time to sketch out a preliminary project roadmap to gain a sense of its scope and duration. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality Another important factor to consider is potential dangers. Assume the worst-case scenario and select a use case that will not result in catastrophic outcomes if it fails. Concentrate on important business issues. Although acknowledging the project's commercial goals is part of the review stage, it merits its own section. In some way, the utilisation of data must result in a favourable business consequence. You're searching for goals like lowering user churn, improving the customer journey, or just replacing inefficient procedures with more efficient ones. Consider whether data can help you reach your goals in a realistic way. A collection of well-defined KPIs is required to achieve the goal. Discuss what indicators you may use to track progress with other stakeholders during the planning stage. It takes a team effort to turn knowledge into profit. You'll need data scientists for analytics and algorithm training, an IT staff to keep the data flowing, and marketing experts to get the project out to the public if it's a consumer-facing effort. By involving everyone from the start, you'll have a wider range of perspectives to choose from, boosting your chances of picking the best use case. Keep in mind that with so many stakeholders, you'll need someone to oversee the process. Appoint a project owner who will be in charge of the project and guarantee that it moves forward. Define and protect the data that is required. Different sorts of data are required for different use cases. Are you looking for something external or internal, structured or unstructured, owned or acquired? Answer these questions as soon as possible to see what you have and what you'll need. Limiting oneself to existing datasets or certain data sources will limit your inventiveness. Rather, concentrate on broad topic fields that match your interests and expertise while also aligning with the company's objectives. Another issue that should be addressed early is data governance. Ascertain that everyone has the necessary access privileges and that the data quality is adequate. Identify any potential issues with respect to data privacy, security, and ethics. Begin small and work your way up. If you can't pick between a highly impactful but difficult use case and one that is less profitable but more actionable, go with the latter. This method provides a number of advantages. Projects with a small scope can produce results in weeks rather than months. Apart from the financial benefits, this will improve your team's morale and involvement in the future. Small initiatives, on the other hand, are safer because they involve fewer people and workloads. They're also simpler, which means there are less things that can go wrong. Choosing the low-hanging fruit, on the other hand, does not imply abandoning more ambitious use cases. On the contrary, your team will get the experience needed to take on larger tasks this way. Small project insights might also help with work or even create fresh and intriguing ideas. In conclusion Finding the correct use case for data science can be tough, despite the quantity of viable applications. There is no one-size-fits-all technique for ensuring the success of any data science project, which is why many firms use outside experts to help them. Whether you work with a team or go it alone, one thing to keep in mind is that in data science, educated decisions make all the difference. My articles is a family member  of free guest posting websites which has a large community of content creators and writers.You are warmly welcome to signup and publish a guest post with a dofollow backlink no matter in which niche you have a business. Follow your favorite writers, create groups, forums, chat, and much much more!
Technical Expertise
Technical Expertise Prime Movers are entrepreneurs that have the capacity to change the lives of billions of people by revolutionising energy, transportation, infrastructure, manufacturing, human enhancement, and agriculture. Choosing smart investments necessitates a thorough understanding of the underlying scientific breakthrough and the ensuing technology in order to detect dangers and assist founders in mitigating them. Through a technical diligence process overseen by a broad team of skilled scientists and engineers, we are able to do so across a wide range of sectors and disciplines. This post intends to help investors better understand our technical diligence approach, which supports in making sound investment decisions and managing their portfolios. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality Technology is merely one aspect of the picture. Prime Movers Lab's whole diligence process is built on four pillars: team, technology, business, and deal. Our pillars' high-level themes are as follows: Team — We prefer to work with organisations that emphasise love/connection, growth, and contribution, as well as have a proven track record. Technology – A breakthrough has occurred, as well as defended intellectual property. Business – There is a substantial market, their business strategy is sound, and their future financial requirements are realistic. Deal – It's in line with our fund's objectives. Of course, the technical diligence phase of the process focuses on the Tech pillar, but it can also help with the Team, Biz, and Deal pillars. Is the investment amount sufficient to meet the stated technical objectives? Are those technical milestones the correct ones, and are they in the correct order? What are the technical alternatives available on the market? Is the team technically capable of carrying out the task? As a result, as a hard or deep tech investment business, we don't just look at the physical gear to see if it works; we also look at whether it can grow. Is the team in a position to solve and execute the unknown unknowns? Is this something that the market actually wants?! Well-Positioned. Being able to do technical diligence in the first place is the first step toward obtaining competent technical diligence. We have intentionally established a technical staff at Prime Movers Lab to cover the different sectors we target. They have a diverse background that includes leading cutting-edge research, creating their own startups, and performing technical management. They contribute their knowledge, networks, and enthusiasm to our aim of uncovering credible breakthrough science that can address the world's most pressing issues. My articles is a family member  of free guest posting websites which has a large community of content creators and writers.You are warmly welcome to signup and publish a guest post with a dofollow backlink no matter in which niche you have a business. Follow your favorite writers, create groups, forums, chat, and much much more! Know-it-all. These scientists and engineers, like any team that wants to be competitive, stay in shape intellectually by conducting research and constantly expanding their expertise. The technical diligence process allows them to stay up to date on the state of the art during active transaction flow, as you'll see here. They also conduct proactive research aligned with their passions, posting technical blogs, hosting webinar panels with other renowned experts from industry, government, and academia, and authoring thinking papers, in addition to reacting to investment opportunities. Speaking at conferences and helping at accelerators exposes them to the process of developing new ideas. We are really fortunate to be able to provide them with a wide devoted network of similarly motivated and amazing mentors in order to broaden their technological prowess. Our experience with PML in terms of due diligence was quite favourable. PML had a laser expert with 40 years of experience who conducted a thorough dive into the complexities of our technology, which amazed us. Relevant subject knowledge, in our opinion, is vital to the diligence process. -Andrei Iancu, PhD, Halo Industries, Inc. Founder and CEO (a portfolio company) Recognize the Company's Stage. Let's talk about how the stage of the firm affects the amount of technical diligence undertaken before we go into the process. Typically, early firms in the "seed" stage raise money to build their initial product. They may not even have a prototype or patents, thus technical due diligence data is restricted. In comparison, a firm in the "growth" stage may have produced tens of goods and is trying to scale to thousands, or it may be generating income but not yet profitable. A company at the growth stage obviously has a lot more technical data — and needs a lot more money to scale. As a result, we usually do more technical due diligence on a growth stage company with a lot of data and a lot of money to protect. A Time-Honored Process for the Founders. It can take a long time to verify the scientific advances and applications of the founders. We don't go there unless we're already beginning to believe in the founders and their objective. We take a funnel approach, starting with the large ideas and getting more specific as we gain more knowledge and conviction, all while respecting the founder's time. A first discussion, followed by a second conversation, and finally a deep dive, is a broad description of the process. The First Discourse. We determine whether the investment idea is a good fit for Prime Movers Lab during our initial conversation. We look for founders that share our beliefs and mission of affecting billions of people, as well as whose investment needs match our fund strategies. We attempt to ask a lot of questions and get to know the entrepreneurs in the process! This includes assisting the founder in comprehending our entire process and answering any concerns they may have about Prime Movers Lab along the route. The Second Discussion. The second conversation can cover any of the pillars, but it frequently focuses on technology. We're looking to see if our core beliefs coincide with the founders, again, since we're conscious of the founders' time. The technical team's strength — We meet key members of the technical team to learn about their knowledge and experiences. We assess how this facilitates the application of scientific breakthroughs and their commitment to the purpose (e.g. are they full time or are they only advising). Appreciable market opportunity – We want to better comprehend the market size and figure out what we need to believe in order to address it. The technical team can provide information on the current state of the art as well as the parameters by which the market will evaluate the innovation. "How does a groundbreaking scientific invention enable this startup?" they wonder. We determine what defensible intellectual property exists or is in the process of being generated, as well as how their technology differs from competitors, ahead of the competition. The time is right - we delve into the founder's motivation for "Why now?" (What makes you think this will work today rather than three years ago or three years from now? Is it a change in costs and/or surroundings, or is it a change in technological insight and skill that didn't exist before?) No significant scientific risk – We learn which major technical risks have been overcome and which engineering risks the founders believe remain. Obviously, the founders' beliefs are driving this second dialogue. We can swiftly fact-check the information we get and discover any substantial misalignments because we have a team of engineers and scientists on hand. The team understood what they were doing coming into the diligence, which was wonderful because it meant I didn't have to spend hours bringing them up to speed — we talked about the crucial issues right away. Founder and CEO of Paradromics Inc., Matthew R Angle, PhD (a portfolio company) The Dive into the Abyss. We regularly question ourselves if we are interested in spending more time learning about a firm and its people in all aspects. If that's the case, we'll proceed to a "deep dive." The deep dive begins with a written plan that outlines our decision-making framework based on the pillars. From a technical standpoint, we want to confirm the following: Validity – Both scientific and engineering designs adhere to scientific laws. Requirements — It's obvious what has to be built. Maturity – Their engineering, documentation, planning, and manufacturing standards are all maturing in the right ways. Defensibility – Their accomplishments, IP/trade secret approach, and execution are difficult to duplicate. We ask the founders for as much information as possible so that we can prepare questions for follow-up visits with them and their staff. Suzanne Fletcher, one of my partners, posted an instructive blog about a list of useful information we ask them to add in their data room. The following are examples of technical data:
The Shift from Pre-Competitive to Competitive
Industries go through a particular transition that often isn’t visible until after it happened. However, the transition is deadly to most players that are there at its onset. To help those players, I decided to publish my 26th Playing to Win/Practitioner Insights (PTW/PI) post on The Shift from Pre-Competitive to Competitive. (You can find links to the rest of the PTW/PI series here.) What is Pre-Competitive? In pre-competitive businesses, multiple competitors generally co-exist in relatively happy state. While they compete for business, when they lose a piece of business, it isn’t a particularly significant thing. Although not nice, losing a piece of business doesn’t alter the competitive dynamics. There is always other business to win. Academic Master is a US based writing company that provides thousands of free essays to the students all over the World. If you want your essay written by a highly professional writers, then you are in a right place. We have hundreds of highly skilled writers working 24/7 to provide quality  essay writing services  to the students all over the World. This sort of pre-competitive scenario would describe waste collection before Waste Management Inc (WMI) (WMI). There were thousands of little rubbish collectors across the country. They may have battled for business at the outside of their domain, but it wasn’t all or nothing competition (unless maybe in New Jersey!). The same held for video rental stores before Blockbuster. In the mid-1980s, my industry, strategy consulting, was pre-competitive. In addition to the main competitors of the day, McKinsey, BCG and Bain, there were many smaller businesses competing, including my firm, Monitor, but also Corporate Decisions, Strategic Planning Associates, Oliver Wyman, Marakon, Parthenon, etc. There seemed to be a half-dozen strategy boutiques in our office building off Harvard Square alone. There are still a number of industries that aren't competitive now. The market for corporate legal services in New York City is now pre-competitive. In New York City, there are still a number of white shoe law companies, all of which have partners who make a lot of money from their individual practise. They compete, but not to the point of death, because each of them is content with their current business model and share of the large, profitable pie. It isn't simply small businesses that are affected. Only recently has the car sector progressed beyond the pre-competitive stage. There have been a slew of contenders from all around the world since its start. Until recently, the world's largest market share was scarcely more than 10%. Even with a global consolidation occurring, co-leaders Toyota and Volkswagen have only a 13 percent market share. Garbage collection, video rentals, and strategy consulting in the 1980s and 1990s, automobiles in the previous decade, and corporate legal services today all claim to be in competitive businesses. They both are and aren't. They compete, but not in a combative manner, as if survival is at risk. Increasing your competitiveness But survival will be at peril because, one day, some person — either from within or as a newcomer — will take a step that triggers a transition, which rarely ends once it begins. The goal is to manipulate a scale button in such a way that remaining a small player becomes nearly impossible, if not impossible. WMI's Wayne Huizenga transformed the competitive dynamics by buying up clusters of local garbage collectors, establishing centralised repair depots, and receiving significant volume discounts on his trucks. Because scale gave such huge advantages, WMI continued to grow and become more competitive until most of the smaller firms were pushed out of the business — and now WMI, Republic, and Stericycle compete in a competitive market. In general, WMI makes a lot of money, Republic makes a respectable amount of money, and Stericycle produces little or no money. It happened in strategy consulting, with McKinsey at the helm. When McKinsey declared that it will spend an amount equal to our total revenues on R&D/product development every year in the mid-1990s, I was co-head of Monitor. That couldn't possibly be good! Free work was added to the mix to get a client began. You used to sell them a study to help them figure out the answer. To win the relationship, you had to give them the answer for free up front. Then you went to India and created a low-cost analytical capability. In addition, there will be a Global Institute to develop new intellectual property. All of these competitive weapons required a scale that made McKinsey's job relatively easy, BCG's job difficult, Bain's job even harder, and Monitor-sized competitors impossible. This was clearly a strategic consulting exercise in pushing the scale button. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality The consulting behemoths McKinsey, BCG, and Bain, as well as the massive broad-based professional service organisations Deloitte (which absorbed Monitor), EY (Parthenon), and PWC, now dominate the market (Booz). The few remaining mid-sized firms (OC&C, SDG, LEK, Mitchell Madison, Roland Berger) exist on the outskirts of a competitive sector, their futures in jeopardy because the big boys have hit the scale button and the tiny guys can't keep up. It's finally occurring in the automobile sector, thanks to the large investments required to participate in the shift from gasoline-powered vehicles to electric vehicles (EVs) and subsequently autonomous vehicles (AV). Tesla has shown that either you make massive investments in electric vehicles or you don't get to play at all. With its Waymo business, Google is aiming to prove the same thing in AV. It spent tens of billions of dollars of its own money before enlisting the help of outside investors to invest another $2.25 billion in a project with little guarantee of success. Fiat Chrysler's (FCA) and Peugeot's (PSA) combination is their response to a competitive environment that will necessitate massive expenditure. The quality that distinguishes a market as competitive is that losing a piece of business weakens you competitively while strengthening the competitor to whom you lost the business. While corporate legal services in New York City are pre-competitive, I believe the proxy solicitation area is competitive. The competitors are more obviously pitted against one another due to the restricted domain. A smaller group of specialists fight it out there, including well-known figures like MacKenzie, Innisfree, and D.F. King. When one loses an assignment as the solicitor for a high-profile proxy war, it boosts the winner's reputation and provides the required expertise to make the next beauty contest easier to win for the winner and more difficult for the loser. A series of losses can lead to a steep drop from which it is difficult to recover. They must compete as if their lives are on the line. The transition from cooperative to competitive might occur swiftly at times. When Canadian legislation changed to allow large life insurance firms to demutualize, I advised my law firm client to go all-in on the first big one and have one of the company's top partners head the file. They were perplexed as to why I was so adamant, because supplying legal services to Canadian insurance companies had never been a huge deal because they were sleepy mutual firms that just needed basic legal services, which the insurance companies handled internally. But my client listened, gained the business, and built up the proprietary know-how that allowed the firm to dominate the change of the Canadian life insurance market to public firms based on that initial experience. In this scenario, the legal services market in the insurance business changed from pre-competitive to competitive in a single swoop. Perspectives from a Practitioner The most crucial piece of advice for practitioners is to avoid assuming that the degree of competitiveness in your business is natural — as it should be — or steady — as it will remain. It has the ability to change quickly. The laws of competition are constantly changing, and the consequences are soon becoming unavoidable. It's a one-way street. It will be irrevocable once it becomes competitive. I've never seen a competitive industry revert to pre-competition. It could happen in the future, but I'm not holding my breath. The threat of the transition from pre-competitive to competitive has defensive and offensive ramifications. On the defensive side, being particularly suspicious of and sensitive to a competitor — existing or new to the market — pressing a scale button in your industry is vital. On-line MBA programmes had to identify early on that, unlike their old model, which offered limited benefits to scale, on-line players had a model in which increasing scale increases cost effectiveness. Many traditional MBA programmes are shuttering, and the top on-line players are already multiples of the size of the biggest MBA programmes — and this is just the beginning of the shift.
AI-Assisted Silver-Lining Clouds
AI-Assisted Silver-Lining Clouds Sugar, This isn't a random collection of cloud formations, but rather cloud formation denominations. They've been given names based on their shapes, and they could be quite useful in gaining a better grasp of the earth's climate. This is due to the shallow clouds' conflicting characteristics: a significant impact on the earth's radiation balance and a reluctance to be modelled. In 2019, the Max Planck Institute for Meteorology held a Kaggle competition to challenge the data scientists community. The goal was to detect and find the four cloud classifications indicated above using satellite photos that had previously been labelled by a panel of experts. The project itself does not claim to be able to directly address climate change, while we believe it can contribute to a greater knowledge of the subject. Academic Master is a US based writing company that provides thousands of free essays to the students all over the World. If you want your essay written by a highly professional writers, then you are in a right place. We have hundreds of highly skilled writers working 24/7 to provide quality  essay writing services  to the students all over the World NASA Earth Observing System Data and Information System (EOSDIS) photos are not copyrighted. One solution to this image segmentation problem is presented in the following article. The underlying assumptions can be found in the references. The experiment and its outcomes were part of DataScientest Institute's Data Scientist training course. The dataset is described in greater detail at the end of this article. To see the model in action, feel free to browse and experiment with the demo: Demonstration of the Nebula project. Limitations of the research We inferred that class categorisation may be ambiguous based on divergences between specialists on the location and type of various cloud formations. Exploratory study confirmed our suspicions. We were unable to detect each class's eigen features using cloud surfaces or image white proportions. After a thorough examination of the image's grayscale, we decided to separate pixel luminosity. To find classes, we'd have to seek for patterns in the image and utilise more sophisticated computational techniques like Convolutional Neural Networks (aka CNN). Strength comes from working together. We used networks with as few parameters as possible because to memory constraints. We chose two of them through iteration: a ResNet 18 backbone within a UNet architecture and an EfficientNet B1 backbone within a LinkNet design. These two models have 14 and 8.5 million parameters, respectively. The project's fundamental goal was to combine two dissimilar models in order to capitalise on their individual advantages. Loss functions and model optimizers were chosen in this frame to be as distinct as their respective architectures. The main properties of the derived models are summarised in the table below. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality The authors' diagrams The photographs were all downsized from 1400x2100 pixels to 320x480 pixels before being enhanced with vertical and horizontal symmetry, rotation below 10 degrees, and gamma corrections before being used. This last enhancement was used to correct for solar strides that were seen in several photos. The first model benefited from a limited number of epochs of pre-training on noise filtered photos. During main training, this would allow the model to focus on lower level cloud properties. What a lovely wedding! The examination of both models yielded similar mean results. In some classes, each of them is a little better than the other. As a result, final predictions were made based on a wedding or consensus. Across models, a simple arithmetic mean was applied to each pixel's anticipated likelihood of belonging to a class. Nonetheless, both cloud fuzzy patterns and hardware restrictions appeared to need to be addressed. Pixel activation and surface filtering were used as post-processing techniques to achieve this. The authors' prediction pipeline diagram NASA Earth Observing System Data and Information System (EOSDIS) photos are not copyrighted. My pixel needs to be lit. Pixel-level predictions are identified by a likelihood that they belong to the current class. The default threshold is 0.5, meaning that a pixel belongs to the class if the likelihood is greater than 50%. It is now clear that cloud formations have a variety of structures: Sugar appears to have fewer members than Fish. Sugar's activation threshold is lowered, resulting in a larger activated area. A selection of 30 batches of 64 photos from the training set was used to find the best thresholds. NASA Earth Observing System Data and Information System (EOSDIS) photos are not copyrighted. Surfaces must be cleaned. The masks created by earlier operations might be any size, ranging from one pixel to the full image. A calibration technique was developed to separate digital artefacts from genuine clouds. To prevent being caught red-handed while overfitting the data, a simple and arbitrary rule was computed. The 15th percentile surface size for each class was determined using the training set. Finally, all predicted surfaces that fell below a certain threshold were removed. a few forecasts Given that a picture is worth a thousand words, we've compiled a list of forecasts below. Sugar (yellow) and Gravel (green) surfaces have been filtered for being too tiny in the first row. The Sugar class has shrunk slightly in size due to a lower activation threshold in the second row. NASA Earth Observing System Data and Information System (EOSDIS) photos are not copyrighted. Results and evaluations The evaluations were done using a reserved 224 image set that was undisclosed to both models. The table below summarises the evaluation process. Note: The selected metrics are a Dice coefficient, or f1-score, as stated in the results table. Except for the Fish class, both the model set and the post-processing increase the individual performances of raw models. Even though the improvements appear to be significant, keep in mind that the tests were limited to 224 images. A late submission to the Kaggle competition, as a bonus, verified our approach performance by placing us in the virtual 74th position (out of 1500 contributors). Private score was 0.66016, while public score was 0.66173. Over test and training data sets, our technique produced accurate findings. The last test we ran was model inference across completely diverse photos. We scanned various locations from all across the world in this frame. The model was able to recognise the clouds that it was trained on, and the findings appeared to be consistent. Here are a few instances. NASA Earth Observing System Data and Information System (EOSDIS) photos are not copyrighted. Finally, we assert that the proposed solution is efficient in terms of hardware restrictions. In the current frame, further enhancements are still conceivable due to the existence of several tracks. Perform a detailed investigation of picture interpolation algorithms employed during image resizing, for example, or use the gradient accumulation technique to enable more dense model architectures. Finally, we have solid evidence that our model has a chance to place in the top ten of the aforementioned Kaggle tournament. Conclusion Using satellite imagery to gather fresh data that is critical to our understanding of our world, analysing even the fuzziest elements like clouds with human-like pattern recognition capabilities, and applying this to an almost infinite number of photos... All of this is possible because to widely available deep learning algorithms. When combined with Big Data, everything points to a significant increase of the satellite photography domain, which might vastly improve our understanding of the environment. Acknowledgements First and foremost, we want to express our gratitude to the entire DataScientest team for their amazing assistance and support over the past few months. The DataScientest.com institute's data scientist degree programme allowed us to gain a solid and diversified knowledge base. This was a requirement for being self-sufficient and important on data science initiatives like the one at hand. Our team was made up of four persons who had never met before. We had very little chance to meet due to geographical distance and lockdown, and... we hadn't yet. Throughout our eight-month project, everyone's contribution was critical to its success. My articles is a family member  of free guest posting websites which has a large community of content creators and writers.You are warmly welcome to signup and publish a guest post with a dofollow backlink no matter in which niche you have a business. Follow your favorite writers, create groups, forums, chat, and much much more! Data management is another important aspect of successful data science projects. We were able to support the entire project from the earliest learning steps to the more sophisticated final ones by using Google Colab / Drive as the main platform and Github as the versioning mechanism for notebooks and libraries. We credit NASA Worldview, which is part of the NASA Earth Observing System Data and Information System, for the imagery (EOSDIS). Last but not least, thank you for taking the time to read this. We hope you liked the process as much as we did completing the project. Please do not hesitate to contact us if you require any additional information.
How African Researchers Are Creating a Quantum Community from the Ground Up (IBM Quantum Challenge Africa)
Quantum computing has the potential to revolutionise problem-solving capabilities. But in which parts of the world may it have an impact? And who will be in the greatest position to profit from this new technology? It is critical that voices from various regional, cultural, and ethnic origins participate to current research and development activities in order to create an ethical and egalitarian future for quantum computing. This isn't merely a philosophical aspiration. It's a mission of crucial relevance for members of the rapidly increasing African quantum community, as well as the world quantum community at large. Academic Master is a US based writing company that provides thousands of free essays to the students all over the World. If you want your essay written by a highly professional writers, then you are in a right place. We have hundreds of highly skilled writers working 24/7 to provide quality  essay writing services  to the students all over the World. One aspect of that aim is to ensure that quantum computing is leveraged to address issues and create opportunities unique to the African continent. With headlines like "Will Africa miss the next computational revolution?" or "Will Africa be ready to take the quantum leap?" some members of the quantum community are concerned that this will not be the case. For the quantum specialists who live and work in Africa today, the question is not whether the continent will miss out on quantum computing's huge promise, but whether quantum computing will miss out on African talent's tremendous potential. Given the continent's population trend, this might be a significant loss. Register for the IBM Quantum Challenge Africa by clicking here. The dates are September 9 – September 20. “By 2050, Africa's population will have doubled,” said Barry Dwolatzky, emeritus professor of electrical and information engineering at Witwatersrand University in Johannesburg, South Africa. According to current forecasts, the majority of this expanding population will be young and urban, making them excellent candidates for the quantum workforce of the future, according to Dwolatzky. “They are all prospective recruits into this new world of technology,” Dwolatzky said, “so I believe we are sowing seeds today that we will see tremendous numbers coming through our universities [to] perform fantastic work.” The history of technology is littered with examples of how things may go wrong when there is a lack of diversity among the people who build that technology, from automatic soap dispensers that don't work for darker skin tones to algorithmic bias in the criminal justice system. We may not yet know exactly where and how quantum computing will demonstrate its worth, but one thing is certain: quantum computing will be most beneficial — and cause the least harm — when it combines perspectives from the widest possible community of developers. That is why contributions from African community members are critical, and why Qiskit has spent years cultivating this group. Last year's Qiskit Global Summer School attracted 285 participants from 26 African nations, while this year's event attracted 288 participants from 30 African countries. In South Africa in 2019, Qiskit organised the Qiskit Camp Africa hackathon, which drew participants from all around the continent. 2019 Qiskit Camp Africa Participants from Africa displayed not only their talent, but also the unique perspective and creativity cultivated by their experiences as students, researchers, and STEM professionals living and working on the continent. Many of these participants, in particular, worked on quantum computing challenges that are essential not only because classical computers struggle to address them, but also because they are frequently disregarded by developer communities in Europe, Asia, and North America. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality These events also demonstrated that quantum computing has a lot of support across the continent. In many situations, the source of that enthusiasm was unexpected. “The attention isn't solely from physicists, as we may have expected,” IBM quantum researcher Amira Abbas said. “It originated from a variety of people, including engineers, computer scientists, mathematicians, and others.” Register for the IBM Quantum Challenge Africa by clicking here. The dates are September 9 – September 20. Engagements like this are critical for the continent's quantum community to continue to expand. After attending a Qiskit Global Summer School and a OneQuantum Women in Quantum event, Mmapula Baloi, an IBM quantum community advocate intern located in South Africa, says she became interested in the field. She is now a physics Ph.D. student at Wits University. “It was difficult to find a university in my area that provided a quantum computing education similar to The Coding School's Qubit by Qubit course,” she explained. While colleges in South Africa are conducting quantum research, Baloi understood that anyone interested in entering the sector should take online courses geared for a worldwide audience. Baloi is also collaborating with universities around Africa to raise awareness of quantum computing research and to offer educational opportunities. Ismail Akhalwaya, a research scientist at IBM Research South Africa, believes that establishing indigenous quantum expertise on the African continent is critical. “We haven't traditionally been a computer technology economy in South Africa, or even in Africa,” he explained, “but we need to move in that direction.” Akhalwaya suggested that today's educational initiatives are the only way to ensure that researchers would employ quantum computing to solve African problems in the future, and that Africans will have equal access to the potential commercial advantages of a mature quantum sector in the future. He stated, "This is the moment to earn IP." “Scientists are gaining patents on new quantum technologies, and we should be involved.” While African colleges may lack quantum hardware infrastructure, Baloi points out that Qiskit provides students with ample opportunities to influence algorithm and application development. Making an influence in this way does not always necessitate formal training. Amira Abbas, Mmapula Baloi, Ismail Akhalwaya, and other IBM Research and Wits University quantum researchers and advocates are now collaborating to create the IBM Quantum Challenge Africa. The challenge, which was created by African researchers with the goal of engaging African students, researchers, and industry professionals, aims to expand the African quantum community and improve participants' quantum computing skills by guiding them through the application of quantum to problems in agriculture, finance, and chemistry. To capitalise on this enthusiasm, challenge creators such as Abbas and Akhalwaya have worked hard to ensure that the Quantum Challenge Africa tasks are cognitively interesting while requiring no prior knowledge of quantum computing. The IBM Quantum Challenge Africa will take place from September 9 to September 20, 2021, and while it is primarily aimed at African participants, it is accessible to everyone from anywhere in the world. The challenge will consist of three exercises that will show how researchers may utilise quantum computing to solve problems that are particularly relevant to Africa, such as crop production logistics, financial optimization, and quantum medication development. Participants who finish all tasks will receive a digital badge that honours their progress, and no prior knowledge of quantum computing is required. 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How to improve the concentration skills of my child
Kids love to play; they try their best to avoid things that don’t interest them. Therefore they make excuses to avoid other works and do not give their best to them. Sometimes due to their mischievous nature, they don’t focus on the given work, but sometimes the reason behind it is more complex and dire. Kids need to possess good concentration skills to complete a task successfully. However, a lack of concentration skills makes them confuse easily, and they can’t stick to one task for an extended period and quite easily get distracted with other things. Having less focus ability might also affect their future because from studies to career to social life, everything depends on how attentive a person is. After learning that, you must surely want to know how to improve concentration in kids, but before that, you must have a better idea of the general signs of an unfocused kid. . They easily get distracted . All-time daydreamer . Are not able to keep things scheduled . Show lesser interest in things . Find hard to learn something deeply. Various senior personalities have deemed concentration skills vital for their healthy development and termed them as necessary for a better learning process. The first essential for the child’s development is concentration. The child who concentrates is immensely happy-Dr. Maria Montessori. Now, it’s a common dilemma for a parent, as to how they can expect good development of their kid when even he/she is not able to give proper attention to essential things. However, the first question in parents’ minds will be how to improve kids’ concentration, and here you will find some easy to adopt methods. These child concentration exercises are more like the habits that one needs to take on in their daily lives, specially fabricated keeping kids’ interests and capabilities. Games & exercises for kids to improve their concentration skills. It is a well-known fact that if you want your child to get into some habit, then you need to do it in a fun-oriented and gripping way. Premium psychologists and child specialists have joined their hands to create some child concentration exercises and games combined in one to improve concentration. Like the other body muscles, brain muscles also need a workout; it strengthens them and improves their ability and capability. Here we’re mentioning some brain exercise by Vidhyashram International School , the best CBSE school in Jodhpur .  Given below are some Brain exercises & games : Sequencing Games These games involve activities related to arranging and sequencing objects, like following a list of steps, putting the things in order. It provides the required work out for the brain muscles and improves the concentration level. They also improve the memorizing capability of a kid in a playful way. With the time limit factor, the mind responds faster and provides them with a much-needed dose of child concentration exercises.  Memory Games Spot the difference- A game in which one has to find minor differences between two almost similar pictures. Also, the flashing pictures game where you have to match a picture to a previously seen one is a stellar game to boost concentration skills. These are uncomplicated fun games but are very crucial for increasing concentration skills. When a child repeatedly tries to memorize a number, picture, or figure, his cognitive and attention capabilities improve. Puzzle & Maze Games These games provide pretty good exercise to the brain muscles; they help improve the concentration, planning, and memorizing power of the mind. A puzzle and maze challenge the mind to reason, to find patterns; it also improves the processing speed of the brain. Also, some maze games involve physical activity, which improves the motor skills of a kid; it also improves mind-body coordination. The variety available with these games will offer you with a complete bunch of child concentration exercises. Command Based Games These are the best gates to improve the concentration of a kid on a particular thing; for several game-like “Statue” or just “Sit” makes a child more patient and focused. As a significant after-effect of lack of concentration in kids, they get distracted very soon and cannot concentrate on work for a long time. This game improves their tolerance power; they get trained not to get distracted easily and stick to a set of commands or work for a long duration. Repeated days with this game or exercise increases the bonding between the mind and body, along with the significant improvement in concentration skills. Meditation & Breathing These child concentration exercises are good for the mind and body. Kids need to focus on their breathing rhythm and patterns; it relaxes their mind, just like the outer body needs a rest after the hard work. Meditation is a popular exercise to relax the mind; it improves focus and frees the mind from other distractions. Getting the kids to do meditation and breathing exercises from a younger age develops their focusing power much faster. Also, they get aligned to set their priorities slowly, under the guidance of elders. Sports & Recreational Activities The mind not only needs academic and calculative methods to improve its abilities, overhauling with the help of sports and other recreational activities improves the focusing & attention power of the mind. Not only do they relax the mind but also better the mind-body coordination; motor skills get improved when a kid is involved in any physical activity. With uplifted social and behavior skills, along with the grown happiness quotient of your child, you are going to recommend games for improving concentration. Many other exercises and games have found their way into the recommended schedule for kids. It is best to follow these child concentration exercises at as early age as possible because a child’s mind is like raw clay, and if we start molding it for good at the primary age, it is helpful for kids and parents both. Along with the exercise and games for improving concentration, we the Vidhyashram International School , the https://vidhyashram.edu.in/ suggest some following some ground changes in lifestyle, which affect the kid for good. 1. Prepare A Daily Routine For Kids’ Children don’t possess much flexible work skills as adults; they mix up things until and unless they don’t get a proper schedule. Therefore, you should finalize the timings for everything like for studying, playing, having food, watching TV, etc. It will help kids in having more arranged and less distraction during daily schedules, which will improve their concentration skills significantly.  2.  Short Breaks And Power Naps To Improve Concentration Skills When we do a physical workout, we take short gaps between exercises for regaining energy. Similarly, the mind also needs refreshing breaks in between mind exercise, studies, etc. for refocusing. Power naps are said to be quite helpful to relax the mind; in fact, some studies propose 20 minutes of power naps in school time.   3. Break Large Tasks Into Smaller Ones & Propose Short Time Goals Kids learn to focus for a long time after time and repeated efforts, so it is advisable to feed them with smaller tasks instead of larger ones so that they do not lose concentration. As time passes, they learn to handle large ones themselves.
Anatomy of Stasis: The Day I Lost My Job at Microsoft
As I entered the conference room, I took a deep breath. When I saw an invite for an early morning meeting with HR and my supervisor and a vague subject the night before, I knew precisely what was going to happen. The housing bubble, the subprime mortgage crisis, and banks crumbling all over the place made 2008 a bad year. After 11 years with Microsoft, I was about to lose my job in the midst of one of the worst global recessions in history. As I walked into the room, I gave a faint smile. Manu Cornet deserves credit for this masterpiece. This tale was important to me for three reasons. I believe there is a shame associated with being laid off. That is something I would like to challenge. On January 22, 2009, I was part of a major layoff at Microsoft that affected 5000 people. It wasn't due to my performance: I'd only been promoted two months before. And things worked out fine: I've progressed six Microsoft levels since then. I am certain that awful things happen in order for wonderful things to happen. Being laid off from Microsoft led me to Amazon, where I began an 11-year odyssey that would change my life. Academic Master  is a US based writing company that provides thousands of free essays to the students all over the World. If you want your essay written by a highly professional writers, then you are in a right place. We have hundreds of highly skilled writers working 24/7 to provide quality essay writing services to the students all over the World. I only realised I had let fear and inertia pull me into stagnation through the soul searching that the thought of unemployment imposed upon me. In years, I hadn't progressed in my career. When I joined Amazon, this provided me the motivation and enthusiasm to supercharge my career. I was too afraid to leave Microsoft, despite my severe dissatisfaction. To be honest, I despised Microsoft. But I didn't always despise Microsoft. It was the most incredible place to be when I arrived in 1997 as a fresh out of college job. There was a lot of enthusiasm and talent all around the place. Microsoft was incapable of making a mistake. I felt honoured to have been a part of it all. At a dizzying pace, the stock was increasing and dividing. “Memories from working at Microsoft in the nineties,” “The night I pulled an all-nighter for Bill Gates,” and “Bunnies and Bees, Patenting at Microsoft” are just a few of the sentimental stories I posted on my blog about the good old days at Microsoft. offline data entry services are the secret sauce many organizations have used to improve customer experiences, innovate products, and disrupt entire industries. At CloudFactory, we’ve been providing data entry services for more than a decade for more than 360 organizations. We’ve developed the people, processes, and technology it takes to scale data entry without compromising quality I am grateful for what Microsoft has taught me. My first five years at Microsoft were formative in my development as a software engineer. You work on small projects for a week or two in college, give them in, get a grade, and move on. You work in groups at times, but the most of the time you work alone. You usually don't have to cope with the consequences of a faulty technological decision for years. However, when I joined Microsoft in 1997, I was thrust into the vast codebases of Microsoft Office and Microsoft Windows, where I was working with thousands of engineers on multi-year projects worth billions of dollars. I was also surrounded by some of the world's brightest software developers, all of whom were far smarter than me. I was so alert, taking everything in. I knew I wasn't in Kansas anymore. Nonetheless, the company's collapse began when Bill Gates passed the reins over to Steve Ballmer. It was dubbed the "Lost Decade." Steve lacked commercial skills and embarked on a series of doomed purchases, including a $7 billion blunder in purchasing Nokia's handset business. Steve exuded testosterone and promoted and rewarded competitiveness both inside and outside, so he (maybe unwittingly?) cultivated a culture of backstabbing and cutthroat behaviour. It was a poisonous environment. Microsoft was in a bad way. It showed in its stock price, which has been unchanged for a decade, as well as in its lacklustre software releases. While Apple was wowing the world with the iPod and iPhone, Microsoft was releasing Windows Vista, which was buggy and unappealing. [Before I get flamed by current Microsoft employees, let me say that I admire Satya Nadella's efforts to turn the firm around.] It's a completely different planet now! However, Steve was not a good fit for the corporation, and that decade was not Microsoft's best.] I joined Microsoft's Rich Media Group in 2007. (RMG). RMG was a software development organisation, and photography was a pastime of mine, so integrating a hobby with my day job sounded like a good idea. I was ecstatic at the prospect of working in space! However, I had forgotten to account for some wind. To begin with, supporting a place indiscriminately is a dangerous thing to do, and the team was actually over-funded. Amazon (the firm I'd join after leaving Microsoft) understands this to the degree where one of the Leadership Principles that codifies Amazon's DNA is "frugality." “Achieve more with less,” according to the official description. Constraints encourage resourcefulness, independence, and innovation. Growing headcount, budget size, or fixed expense do not earn extra points.” Amazon's least popular leadership value is frugality, which is frequently used to explain being stupid. Yes, Amazon is cheap in a lot of ways, but there's a lot of wisdom behind that leadership principle. Getting fewer resources to build something forces you to be laser-focused on the things that matter and build value incrementally to earn trust. Microsoft’s RMG provided a textbook case study on the opposite. We were going to compete with Adobe Lightroom. Adobe constructed it in 18 months with the help of 18 engineers? We were going to swarm the problem with 35 people! There was an impressive cast of Senior and Principal Engineers that essentially spent two years debating each other and bike shedding and ended up shipping exactly zero code. There were little fiefdoms even among the 35 engineers. We even began purchasing businesses in order to “speed up” the process. None of these acquisitions accomplished anything other than adding to the administrative burden. Today, I am convinced that we could have shipped a product if we had funded a team half the size. We had so much spare cash that we launched a programme called "Icons of Imaging," in which we collaborated with world-renowned photographers such as Bambi Cantrell, Reed Hoffmann, Denis Reggie, John Shaw, Matthew Jordan Smith, and Art Wolfe. One of our team members was chosen to accompany Art Wolfe to Antarctica to film the public television series Travels to the Edge. We spent an afternoon with Bambi Cantrell doing a private shoot. We had a lab stuffed with high end printers (in the tens of thousands of dollars) so that we could test the product’s printing capabilities. We had a full collection of Canon “L” lenses that we could borrow anytime, like the $2000 70–200mm f/2.8L. Photography was my hobby, so in a lot of ways the perks of the job made it a dream job. But in terms of software engineering, I learned nothing. I didn’t grow my career. The team was doomed from the start. The fact I was having so much fun with all the perks obscured this fact for a long time. The second headwind I failed to take into account is that we simply didn’t have it in our corporate DNA to make the right product. Companies have specific things they do extremely well. Apple does beautiful designs. Microsoft does serious enterprise. Amazon does online services. Google does ridiculous scale. When these businesses stray from their essential DNA, they become more shaky and uncomfortable. Amazon's Alexa is a fantastic tool, but it lacks the aesthetics of Apple's devices. At the same time, I wouldn't expect an Apple web service to have the same level of reliability as Amazon AWS. This isn't to suggest that Apple or Amazon can't create beautiful interfaces or fantastic web services, but it goes against their essential DNA, so there's some resistance. Adobe was the king of the castle when it came to photography and art. It was ingrained in their DNA. It has been a tradition of theirs for decades. Photoshop, Illustrator, and Lightroom were all really stunning. This kind of beauty and creativity will appeal to photographers and artists if you're creating a product for them. Instead, Microsoft offered Windows and Office, which were both utilitarian and corporate in nature. Today, I use a Mac, and I gag every time I see Microsoft Windows. It's extremely serious and businesslike. The user involvement isn't at all amusing. In September of 2008, I had that insight in Köln (Cologne), Germany. We were to Photokina, a well-known photo industry exhibition, to debut Microsoft Pro Photo Tools, a product we had developed. All of the major players were also present. Our stand was immediately close to Adobe's. You could literally glance at one booth, then the other, back and forth, because our DNA differences were so obvious. Even their display was lovely, with bright primary colours, artful curves, and a joyful, inviting atmosphere. Our booth was black and white, with sharp angles and an uncomfortably business appearance. We were dull businessmen, but they were a lot of fun.
Birla International School, Kishangarh (BISK)
Birla International School, Kishangarh, is located on NH8 at distance of 22kms from Nearest city Kishangarh and 90KMS from capital city Jaipur. This school is established by Popular Birla education group of Pilani in year 2010. It is a fully boarding residential Co education centre. The school is nestled in a lush green campus spread over 48 acres. The school is well connected with other parts of India by road, rail and air. The nearest railway station is Kishangarh. The school is also accessible from Jaipur International and Kishangarh airport. You can further take Kishangarh Airport Taxi Service to reach here in less than 30minutes. Birla Education Trust, Pilani Birla Education Trust started in 1901 when Seth Shiv Narayan Birla started a small village school in Pilani for the education of his grandsons Shri Ghanshyam Das Birla and Shri Rameshwar Das Birla as well as 30 other village children. The school gathered strength and grew to become a high school in 1925 and an intermediate college in 1928. This is a Initiative taken by Late Ghanshyam das Birla To turn this vision into reality, he established the Birla Education Trust on 23 January 1929 and under his dynamic leadership and visionary vision continuously nurtured the institution and transformed Pilani into a world-renowned Center of Excellence in the field of education. Changed. Today the institute stands as a group of five schools for boys and girls providing world class education which combines the rich cultural heritage of India with modern technology. Thousands of students graduate from these institutes every year who are well equipped to achieve higher career goals in the best institutions in India and abroad. Features of Birla International School • English Medium Co-educational Full Residential School • Teacher-Student Ratio 1:12 • State-of-the-art infrastructure giving importance to traditions • Features for the Future • Learning on the Tablet • Wi-Fi Premises • Air-conditioned Digital Classroom • Fully equipped spacious and inspiring library • Pleasant and comfortable living conditions in a lush green campus • Separate and scattered air-conditioned boarding houses for boys and girls • Wellness Center (mini hospital with resident doctor and ambulance) An environment for all-inclusive learning • Multi-Purpose Hall and Seminar Room • Les Ateliers (Studio) - Classical and Contemporary Dance and Music • Arts & Crafts Workplace • Research work rooms for IT, Psychology, Humanities, Physics, Chemistry, Biology, Mathematics and Robotics •Language Laboratory • Audio-Visual Theater Integrated Sports Facilities •Cricket • Basketball and Volleyball • Badminton and Tennis • Table Tennis • Rifle/Pistol Shooting •Horse riding • Gymnastics • Yoga • Swimming • Athletics • Skating