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Probabilistic Machine Learning: An Introduction Book 1 (2nd edition, draft Jan 2021) By: Kevin P Murphy Read more
TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications By: Praveen Palanisamy Read more
Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples By: Serg Masis Read more
Learning Java by Building Android Games – Third Edition: Learn Java and Android from scratch by building five exciting games By: John Horton Read more
Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks By: Jalil Villalobos Alva Read more
Machine Learning Using TensorFlow Cookbook: Over 60 recipes on machine learning using deep learning solutions from Kaggle Masters and Google Developer Experts By: Luca Massaron, Alexia Audevart, Konrad Banachewicz Read more
A Sky Full of Stars: Learning to Surrender to God’s Perfect Plans By: Lisa Leonard, Meg Apperson [Audiobook] Read more
Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques, 2nd edition By: Robert L Kissell Read more
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps By: Michael Munn, Valliappa Lakshmanan, Sara Robinson Read more