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Top 5 Neural Network Models For Deep Learning & Their Applications

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Neural networks are a series of algorithms that identify underlying relationships in a set of data. These algorithms are heavily based on the way a human brain operates. These networks can adapt to changing input and generate the best result without the requirement to redesign the output criteria. In a way, these neural networks are similar to the systems of biological neurons. Deep learning is an important part of machine learning, and the deep learning algorithms are based on neural networks.


Tesla's 'Full Self-Driving' Is 99.9% There, Just 1,000 Times Further To Go

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This week, Tesla TSLA released a very limited beta of what Elon Musk has referred to as "feature complete full self-driving" to a chosen subset of their early access customers. It also announced a $2,000 increase in the price of the "FSD in the future" package it sells today to car owners, giving them access to this software when it's ready. The package is impressing many of these owners. A few have posted videos to Youtube showing the system in operation on city streets. In spite of the name, "full" self driving is neither self-driving nor full as most people in the industry would refer to it.


Enterprises Will Push AI To New Frontiers In 2021: Report

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San Francisco: In 2021, one in four forward-thinking enterprises will push Artificial Intelligence to new frontiers, such as holographic meetings for remote work and on-demand personalised manufacturing, according to new predictions by Forrester Research. They will gamify strategic planning, build simulations in the boardroom, and move into intelligent edge experiences, said the report. Consultancies like Capgemini, EY, and KPMG will provide strategy and governance chops, while software companies like DataRobot, IBM, and Tecton will provide scale and speed to fuel this imagination, it added. Build your internal AI team, engage consultancies to implement domain-specific solutions, and upgrade your data, analytics, and machine learning (ML) platforms to rethink how you use AI," Forrester advised. But here are many deterrents to AI success -- a lack of trust, poor data quality, data paucity, a lack of imagination, and a dearth of the right power tools to scale.


Introduction to AI & Machine Learning

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Way2AI is a group of enthusiasts and specialists in AI & Machine Learning, created by Long Nguyen, PhD in AI (France), aiming at teaching people learning about this emerging technology. AI is really changing the world! Almost every domain can benefit from the power of AI, from business, healthcare, to transport, entertainment, and military etc. There are more and more investments in AI but the domain still lacks of qualified employees. Therefore we really hope that our contribution can help many people find a fast and easy way in approaching AI.


Python – Fly spaceships with your mind

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There are many reasons why you should learn Python. Python is one of the most widely used programming languages for Data Science & Machine Learning. Python is one of the most frequently used programming languages for Data Science & Machine Learning. Python is cross-platform and free. Python offers a variety of programming paradigms, as well as object-oriented and functional programming.


Fast Gradient Boosting with CatBoost

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In gradient boosting, predictions are made from an ensemble of weak learners. Unlike a random forest that creates a decision tree for each sample, in gradient boosting, trees are created one after the other. Previous trees in the model are not altered. Results from the previous tree are used to improve the next one. In this piece, we'll take a closer look at a gradient boosting library called CatBoost.


Group Search Optimization for Applications in Structural Design - Programmer Books

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Civil engineering structures such as buildings, bridges, stadiums, and offshore structures play an import role in our daily life. However, constructing these structures requires lots of budget. Thus, how to cost-efficiently design structures satisfying all required design constraints is an important factor to structural engineers. Traditionally, mathematical gradient-based optimal techniques have been applied to the design of optimal structures. While, many practical engineering optimal problems are very complex and hard to solve by traditional method.


Do More With Less Data! -- One-shot Learning with Siamese Neural Networks

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This blog is written and maintained by students in the Professional Master's Program in the School of Computing Science at Simon Fraser University as part of their course credit. To learn more about this unique program, please visit {sfu.ca/computing/pmp}. Let's start with a news article that might scare you a bit. We will show you the good news later! Not less than four months ago, a student at Emily Carr University of Art and Design lost $600 from his bank account through fraudulent cheques.


Self-Driving Cars Are the Next Battle In the EV Wars

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The next phase of EV competition won't be about battery range, styling, or zero-to-60 acceleration. It's going to be about which cars are smarter. Figuring out winners and losers will have big implications for investor portfolios. Xpeng opened its event by showcasing smartcabin software technology. Drivers can adjust things such as the direction of air-conditioning vents by talking to the virtual assistant.


The AI Lords Of Sports: How The SportsTech Is Changing Business World

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It is the time of the fall classic, Major League Baseball's World Series. As the two best teams vie for the championship this year, there are some actors in the game beyond the players, coaches, umpires (or referees), and fans… namely big data, analytics, and artificial intelligence. These new actors are also highly prevalent in football, basketball, and hockey, and they are changing these games forever. Sports foray into technology and data really got its start in 2002 with the Oakland Athletics. General Manager Billy Beane and Assistant GM Paul DePodesta would pioneer sabermetrics, which is a new perspective on baseball analytics.