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

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

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

Computational geometry : lectures at the Morningside Center of Mathematics

Handbook of parallel computing and statistics

Hands-on reinforcement learning algorithms with Python : learn, understand, and develop smart algorithms for addressing AI challenges

Keras Reinforcement Learning Projects : 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Machine Learning with scikit-learn Quick Start Guide : Classification, regression, and clustering techniques in 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

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

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

Hands-On Neural Networks with Keras : Design and create neural networks using deep learning and artificial intelligence principles

Python Machine Learning : The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow

Python Machine Learning : The Ultimate Intermediate Guide to Learn Python Machine Learning Step by Step Using Scikit-learn and Tensorflow

Python machine Learning : The Ultimate Beginner's & Intermediate Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow

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

A first course in artificial intelligence

Grokking Algorithms : Tips and Tricks of Grokking Functional Programming (Simple and Effective Methods to Grokking Deep Learning)

Hands-On Music Generation with Magenta : Explore the role of deep learning in music generation and assisted music composition

Hands-On Neuroevolution with Python : Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Hands-On One-shot Learning with Python : Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

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

Machine learning for data mining : improve your data mining capabilities with advanced predictive modeling

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