Machine learning

Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have ...
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Probabilistic machine learning : advanced topics
An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement ...
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The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and ...
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Your wit is my command : building AIs with a sense of humor
1. Does not compute: why our machines need a sense of humor; 2. It's a joke, jim, but not as we know it: a tour of scholarly perspectives and theories of humor; 3. Tweet my shorts: twitterbots can turn our theories into simple practice; 4. Double trouble: humorous storytelling and embodied AI; 5. ...
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Artificial intelligence : a guide for thinking humans
In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about ...
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