Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Graph Algorithms for Data Science: With examples in Neo4j, Author: Tomaz Bratanic
Title: Practical Deep Learning, 2nd Edition, Author: Ronald T. Kneusel Pre-Order Now
Title: Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI, Author: Robert (Munro) Monarch
Title: Learn Generative AI with PyTorch, Author: Mark Liu
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Privacy-Preserving Machine Learning, Author: J. Morris Chang
Title: Graph Neural Networks in Action, Author: Keita Broadwater
Title: Machine Learning System Design: With end-to-end examples, Author: Valerii Babuskhin
Title: HBR Guide to Generative AI for Managers, Author: Elisa Farri Pre-Order Now
Title: Fun Q: A Functional Introduction to Machine Learning in Q, Author: Nick Psaris
Title: Introducing Data Science: Big Data, Machine Learning, and more, using Python tools, Author: Davy Cielen
Title: Predictive Analytics with Microsoft Azure Machine Learning 2nd Edition, Author: Valentine Fontama
Title: Machine Learning: Paradigms and Methods, Author: Jaime Carbonell
Title: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, Author: Chip Huyen Pre-Order Now
Title: Programming Machine Learning: From Coding to Deep Learning, Author: Paolo Perrotta
Title: Learning TensorFlow.js, Author: Gant Laborde
Title: Causal Inference for Data Science, Author: Aleix Ruiz de Villa Robert
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Computational Intelligence for Sustainable Transportation and Mobility: Volume 1, Author: Deepak Gupta

Pagination Links