Title: Artificial Intelligence: A Guide for Thinking Humans, Author: Melanie Mitchell
Title: Deep Learning, Author: Ian Goodfellow
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Author: Aur lien G ron
Title: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI, Author: Sebastian Raschka
Title: The Deep Learning Revolution, Author: Terrence J. Sejnowski
Title: The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Author: Pedro Domingos
Title: Machine Learning For Dummies, Author: John Paul Mueller
Title: Math for Deep Learning: What You Need to Know to Understand Neural Networks, Author: Ronald T. Kneusel
Title: Machine Learning, revised and updated edition, Author: Ethem Alpaydin
Title: Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence, Author: Dale Lane
Title: Deep Learning For Dummies, Author: John Paul Mueller
Title: Learning Theory from First Principles, Author: Francis Bach Pre-Order Now
Title: Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages, Author: Tanmay Bakshi
Title: Managing Cloud Native Data on Kubernetes: Architecting Cloud Native Data Services Using Open Source Technology, Author: Jeff Carpenter
Title: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies, Author: John D. Kelleher
Title: MLOps Engineering at Scale, Author: Carl Osipov
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Author: Thomas Nield
Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
Title: The Manga Guide to Linear Algebra, Author: Shin Takahashi

Pagination Links