Automated Machine Learning

Reinforcement Learning Foundations

Scenarios Engineering for Services Science

Towards Trustworthy and Reliable Services Systems with New AI

Human-Centered Machine Learning

Sutskever''s List

Foundational Ideas of Modern AI

Trends in Advanced Unmanned Aerial Systems

Selected Contributions of ICAUAS 2025

How We Learn

The New Science of Education and the Brain

Handbook of Reinforcement Learning

Superintelligence

Paths, Dangers, Strategies

Mathematics for Machine Learning

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

Python for Excel

A Modern Environment for Automation and Data Analysis

Machine Learning For Dummies

For Dummies (Computer/Tech)

Large Language Models - The Hard Part

Open Source AI Solutions for Common Pitfalls

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

Learning Algorithms

A Programmer's Guide to Writing Better Code

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Learning AutoML

Automating ML Pipelines with Autogluon, Leading Frameworks, and Real-World Integration

Learning Generative AI Tools for Excel

Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, ChatGPT, and Beyond

Data Science on AWS

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

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

HBR Guide to Generative AI for Managers

HBR Guide

Deciphering Data Architectures

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