Title: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI, Author: Sebastian Raschka
Title: Grokking Machine Learning, Author: Luis Serrano
Title: Math for Deep Learning: What You Need to Know to Understand Neural Networks, Author: Ronald T. Kneusel
Title: Machine Learning and Deep Learning With Python, Author: James Chen
Title: Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (English Edition), Author: Nabanita Dash
Title: How Large Language Models Work, Author: Edward Raff
Title: The AI Security Handbook, Author: Harriet Farlow Pre-Order Now
Title: Genetic Algorithms and Machine Learning for Programmers, Author: Frances Buontempo
Title: Learning TensorFlow.js, Author: Gant Laborde
Title: Fun Q: A Functional Introduction to Machine Learning in Q, Author: Nick Psaris
Title: Fostering Women's Engagement in STEM Through Education: A Cross-Cultural Academic-Industry Journey, Author: Esyin Chew
Title: Machine Learning with SAS Viya, Author: SAS Institute Inc.
Title: Machine Learning Engineering in Action, Author: Ben Wilson
Title: Introducing Data Science: Big data, machine learning, and more, using Python tools, Author: Davy Cielen
Title: Designing Deep Learning Systems: A software engineer's guide, Author: Chi Wang
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Distributional Reinforcement Learning, Author: Marc G. Bellemare
Title: Managing Machine Learning Projects: From design to deployment, Author: Simon Thompson
Title: Machine Learning with SAS Viya, Author: SAS Institute Inc.
Title: Machine Learning Bookcamp: Build a portfolio of real-life projects, Author: Alexey Grigorev

Pagination Links