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Probabilistic numerics : computation as machine learning

Programming in parallel with CUDA : a practical guide

Data science in context : foundations, challenges, opportunities

Machine Learning For Beginners : An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

Machine Learning Algorithms : Popular algorithms for data science and machine learning, 2nd Edition

Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases

The garden in the machine : the emerging science of artificial life

Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks

Machine Learning in Python : Hands on Machine Learning with Python Tools, Concepts and Techniques

Machine Learning in Finance : Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market

Modelling of parallel boost converter

Machine Learning : The Ultimate Beginners Guide to Learn Machine Learning, Artificial Intelligence & Neural Networks Step-By-Step

Machine Learning : The Ultimate Beginners Guide to Learn Machine Learning, Artificial Intelligence & Neural Networks Step-By-Step

Fundamentals of Machine Learning

A first course in artificial intelligence

Monte Carlo Simulation : Methods, Assessment & Applications

Advanced computer vision with TensorFlow 2.x : build advanced computer vision applications using machine learning and deep learning techniques

The Moral Code of Machines : Exploring Ethics in AI and Machine Learning

Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python

Machine Learning with Scala Quick Start Guide : Leverage popular machine learning algorithms and techniques and implement them in Scala

Hands-On Q-Learning with Python : Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Understanding Machine Learning

Tensorflow 2 reinforcement learning cookbook : over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Machine Learning with R Quick Start Guide : A beginner's guide to implementing machine learning techniques from scratch using R 3.5

Quantum Computing and Blockchain in Business : Exploring the applications, challenges, and collision of quantum computing and blockchain

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python

Machine Learning For Beginners

Deep Reinforcement Learning with Python : Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition

Washing Machine Kids Coloring Book : An Early Learning coloring book for kids

TensorFlow Reinforcement Learning Quick Start Guide : Get up and running with training and deploying intelligent, self-learning agents using Python

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