MLOps Fundamentals

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Data Science and Machine Learning for Non-Programmers

Using SAS Enterprise Miner

Causal Inference and Machine Learning

In Economics, Social, and Health Sciences

How We Learn

The New Science of Education and the Brain

Handbook of Reinforcement Learning

Superintelligence

Paths, Dangers, Strategies

Machine Learning For Dummies

For Dummies (Computer/Tech)

How To Think About AI A Guide For The Perplexed

A Guide For The Perplexed

Hands-On Large Language Models

Language Understanding and Generation

Deciphering Data Architectures

Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

HBR Guide to Generative AI for Managers

HBR Guide

Modern Data Analytics in Excel

Using Power Query, Power Pivot and More for Enhanced Data Analytics

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Building AI-Powered Products

The Essential Guide to AI and GenAI Product Management

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

Deep Learning for Coders with fastai and PyTorch

AI Applications Without a PhD

R for Data Science

Import, Tidy, Transform, Visualize, and Model Data

Hands-On Entity Resolution

A Practical Guide to Data Matching with Python

The Scaling Era

An Oral History of AI, 2019-2025

Effective Machine Learning Teams

Best Practices for ML Practitioners

Data Science on AWS

Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Learning Spark

Lightning-Fast Data Analytics

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

Building Machine Learning Systems with a Feature Store

Batch, Real-Time, and LLM Systems