Reinforcement Learning
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Mathematical Foundations of Deep Learning: Theory and Algorithms
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Fundamentals of Machine Learning
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Deep Reinforcement Learning with Python: Master Classic RL, Deep RL, Distributional RL, Inverse RL, and More with OpenAI Gym and TensorFlow, Second Edition
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Build a Reasoning Model (From Scratch)
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Introduction to Machine Learning: From Math to Code
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Grokking AI Algorithms, Second Edition: How AI Solves Complex Problems
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Statistical Machine Learning: A Unified Framework
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Real-Time Machine Learning (MEAP V03) | Real-Time Machine Learning
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Algorithms for Decision Making
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Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R
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Machine Learning in Finance: From Theory to Practice
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Distributed Artificial Intelligence: Second International Conference, DAI 2020, Nanjing, China, October 24–27, 2020, Proceedings
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Hands-On Machine Learning with C#
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TensorFlow Deep Learning Projects: 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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A to Z of Deep Learning and AI
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Reinforcement Learning Explained: A Practical Problem-Solving Approach
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Thinking AI: How Artificial Intelligence Emulates Human Understanding
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Python & AI For Dummies
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Hands-On Artificial Intelligence for Banking
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AI Agents for Secure and Software-Defined Networking: Harnessing AI and SDN to Revolutionize Modern Work Environments
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Essential Math for AI
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Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks
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The Craft of Post-Training: A Practical Guide for AI Engineers and Developers
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Problems with AI
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