Grokking Deep Reinforcement Learning
Miguel Morales
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Elements of Causal Inference : Foundations and Learning Algorithms
Jonas (Associate Professor of Statistics, University of Copenh Peters
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Genetic Algorithms and Machine Learning for Programmers
Frances Buontempo
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Build A Career in Data Science
Emily Robinson
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Just Enough R! : An Interactive Approach to Machine Learning and Analytics
Richard J. Roiger
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Programming Machine Learning : From Coding to Deep Learning
Paolo Perrotta
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The Shortcut : Why Intelligent Machines Do Not Think Like Us
Nello Cristianini
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Machine Learning with Neural Networks : An Introduction for Scientists and Engineers
Bernhard (Goeteborgs Universitet, Sweden) Mehlig
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Just Enough R! : An Interactive Approach to Machine Learning and Analytics
Richard J. Roiger
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AI by Design : A Plan for Living with Artificial Intelligence
Catriona Campbell
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Python Deep Learning : Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
Ivan Vasilev
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Genetic Algorithms and Machine Learning for Programmers : Create AI Models and Evolve Solutions
Frances Buontempo
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Learning TensorFlow : A Guide to Building Deep Learning Systems
Tom Hope
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Learning TensorFlow : A Guide to Building Deep Learning Systems
Tom Hope
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