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: 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: Machine Learning and Deep Learning With Python, Author: James Chen
Title: How Large Language Models Work, Author: Edward Raff
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI, Author: Robert (Munro) Monarch
Title: Graph-Powered Machine Learning, Author: Alessandro Negro
Title: Machine Learning Engineering in Action, Author: Ben Wilson
Title: Data-Driven Cybersecurity: Reducing risk with proven metrics, Author: Mariano Mattei
Title: Building Quantum Software with Python: A developer's guide, Author: Constantin Gonciulea
Title: Learning TensorFlow.js, Author: Gant Laborde
Title: Machine Learning System Design: With end-to-end examples, Author: Valerii Babuskhin
Title: Build a Reasoning Model (From Scratch), Author: Sebastian Raschka Pre-Order Now
Title: Investing for Programmers, Author: Stefan Papp
Title: Distributed Machine Learning Patterns, Author: Yuan Tang
Title: Deep Learning Patterns and Practices, Author: Andrew Ferlitsch
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Explore Series

Pagination Links