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Reinforcement learning – from playing games to driving cars


What is Reinforcement Learning?It is an approach to artificial intelligence that gets computers to learn like people by doing things incrementally well, without explicit instruction. The author gets a taste of this at a Barcelona AI conference where self-driving cars in a simulation learn to maneuver through a complicated four-lane highway by practicing moves over and over. This is also the ap...

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Jason mayes - machine learning 101


Here is a preview of a few of the slides of the presentationRead the full presentation here Machine Learning 101 

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What is machine learning? ~ google ai


The world is filled with data. Lots and lots of data. Everything from pictures, music, words, spreadsheets, videos and more. It doesn’t look like it’s going to to slow down anytime soon. Machine learning brings the promise of deriving meaning from all of that data.Machine Learning is already everywhereWe see machine learning all around us in the products we use today, but it isn’t always appare...

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Deep learning specialization


If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks,...

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The quartz guide to artificial intelligence


What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you’ll likely read about how AI is powering Amazon and Google’s virtual assistants, or how it’s taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We’re here to help with this living document,...

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    As AI changes the competitive landscape and upends operations in several business functions, it is important to evaluate the specific opportunities and challenges it leads to from a manager’s perspective.
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