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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence
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Artificial Intelligence

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  • Deep Learning Cookbook : Practical Recipes to Get Started Quickly - Douwe Osinga
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  • Python Reinforcement Learning : Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow - Sudharsan Ravichandiran
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  • Multi-View Geometry Based Visual Perception and Control of Robotic Systems - Jian Chen
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  • Humanoid Robots : Modeling and Control - Dragomir N. Nenchev
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  • Meta-Analytics : Consensus Approaches and System Patterns for Data Analysis - Steven Simske
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  • Introduction to Artificial Intelligence : Age of Machine Learning and Cloud-Based Technologies - Craig Dickerson
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  • Elements of Causal Inference : Foundations and Learning Algorithms - Jonas Peters
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  • The Quest for Artificial Intelligence - Nils J. Nilsson
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  • Introduction to Artificial Intelligence : Third Edition - Philip C. Jackson
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  • Predictive Statistics : Analysis and Inference beyond Models - Bertrand S. Clarke
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  • Discrete-Time Recurrent Neural Control : Analysis and Applications - Edgar N. Sanchez
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  • Artificial Intelligence with Python : Your complete guide to building intelligent apps using Python 3.x - Alberto Artasanchez
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  • Deep Reinforcement Learning Hands-On : Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more - Maxim Lapan
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  • Mastering Machine Learning Algorithms : Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Giuseppe Bonaccorso
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  • Hands-On Genetic Algorithms with Python : Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems - Eyal Wirsansky
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  • Introduction to EEG- and Speech-Based Emotion Recognition - Priyanka A. Abhang
    Introduction to EEG- and Speech-Based Emotion Recognition
    Priyanka A. Abhang, Suresh C. Mehrotra and Bharti W. Gawali
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  • Hands-On Deep Learning with Go : A practical guide to building and implementing neural network models using Go - Gareth Seneque
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  • Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management - R. N. G. Naguib
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  • Emerging Trends in Disruptive Technology Management for Sustainable Development : Chapman & Hall/CRC Computational Intelligence and Its Applications - Rik Das
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  • Artificial Intelligence in the 21st Century - Stephen Lucci
    Artificial Intelligence in the 21st Century
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  • Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners) - Arthur T. Brooks
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  • i in the Sky : Visions of the Information Future - Alison Scammell
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  • AI for People and Business : A Framework for Better Human Experiences and Business Success - Alex Castrounis
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  • Hands-On Neural Networks with TensorFlow 2.0 : Understand TensorFlow, from static graph to eager execution, and design neural networks - Paolo Galeone
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  • Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms : Industrial Applications - Lakhmi C. Jain
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  • Digital Image Sequence Processing, Compression, and Analysis : Computer Engineering Series - Todd R. Reed
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  • Artificial Intelligence for Autonomous Networks : Chapman & Hall/CRC Artificial Intelligence and Robotics Series - Mazin Gilbert
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  • A First Course in Statistical Programming with R - W. John Braun
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