The 13 Best Deep Learning Courses and Online Training for 2021

Laptop keyboard

Deep learning models are commonly based on convolutional neural networks but can also include propositional f formulas or latent variables organized by layer. With this in mind, we’ve compiled this list of the best deep learning courses and online training to consider if you’re looking to grow your neural network and machine learning skills for work or play.

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Artificial Intelligence (AI) tools realities: 5 questions to ask your developers

AI Business

Artificial Intelligence (AI) tools that just a few years ago would have been found only at the most cutting-edge companies are now becoming commonplace. But while specialized hardware, software, and frameworks may be more mainstream these days, the knowledge and experience to use them effectively has not kept up. Here are five essential questions to ask your development teams before you finalize your AI strategy.

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Panel on Artificial Intelligence urges US to boost tech skills amid China’s rise

Eric E. Schmidt

An artificial intelligence commission led by former Google CEO Eric Schmidt is urging the U.S. to boost its AI skills to counter China, including by pursuing “AI-enabled” weapons – something that Google itself has shied away from on ethical grounds. Schmidt and current executives from Google, Microsoft, Oracle and Amazon are among the 15 members of the National Security Commission on Artificial Intelligence, which released its final report to Congress on Monday.

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Artificial Intelligence in the Corporate Boardroom

AI Board room

Alphabet, the parent company of Google GOOG -0.8%, is the leading tech company that decided to invest a lot of resources and funding in artificial intelligence. So much so, that the WSJ recently announced that AI is central to Google’s future. Not surprisingly, Google has been dealing with different challenges concerning its top AI executives and researchers. Activists shareholders are also showing interest in this. Recently, there is a rise in shareholder proposals calling on boards to ensure proper AI governance. 

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Artificial Intelligence for Automated and Autonomous discovery of better battery materials

AI Autonomous Discovery

While applications such as electric mobility, stationary storage, drones and medical implants continue to take off, the global demand for sustainable rechargeable batteries is expected to increase drastically in the next decade. Europe alone would need a cell production capacity of at least 200 GWh up to the TWh range.

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Agile development applied to Machine Learning Projects

Agile process

Agile methods can be used for Machine Learning projects. Many standard practices of software development continue to develop for AI development. Reproducibility is a critical component of software systems that faces challenges for AI Systems. ML systems have dependencies not only in code but potentially in data as well, track them carefully. ML system development is still a work in progress, new needs are being surfaced but best practices and tools are still needed.

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Impact of Robotic Technology on Healthcare Industry

Robot Healthcare

The whole idea of robots in hospitals is not new for healthcare professionals. The idea of using robotic technologies in healthcare evolved in 1985. It started when healthcare planned to transform robots into precise machinery for surgery. “The idea came into reality in early 2000 with the invention of the DaVinci robot. Hospital management software and robotic technologies are proof of how technologies have evolved.” According to research conducted by Credence, the global market of medical robotics will grow to USD 20 billion by 2023.  

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Measuring the business benefits of AIOps

Robot World

Staffing levels within IT operations (ITOps) departments are flat or declining, enterprise IT environments get more complex by the day and the transition to the cloud is accelerating. Meanwhile, the volume of data generated by monitoring and alerting systems is skyrocketing, and Ops teams are under pressure to respond to incidents more quickly. Faced with these challenges, companies are increasingly turning to AIOps…

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Zillow: Building a Big Data pipeline to process Clickstream Data

Clickstream data is one of the largest and most important datasets within Zillow. The data set contains a log of a series of page requests, actions, user clicks and other web activity from the millions of home shoppers and sellers visiting Zillow sites every month. The data powers many reporting dashboards and helps us answers complex business questions.

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