Machine Learning and Soft Computing

How We Learn

The New Science of Education and the Brain

Trends in Advanced Unmanned Aerial Systems

Selected Contributions of ICAUAS 2025

Learning Generative AI Tools for Excel

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

Mathematics for Machine Learning

Handbook of Reinforcement Learning

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

How To Think About AI

A Guide For The Perplexed

Large Language Models - The Hard Part

Open Source AI Solutions for Common Pitfalls

Machine Learning For Dummies

For Dummies (Computer/Tech)

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Prompt Engineering for Generative AI

Future-Proof Inputs for Reliable AI Outputs

AI Engineering

Building Applications with Foundation Models

Learning AutoML

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

Architecting Data and Machine Learning Platforms

Enable Analytics and Ai-Driven Innovation in the Cloud

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Hands-On RAG for Production

Design, Develop, and Deploy Production-Ready RAG Applications

Data Science on AWS

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

Python for Excel

A Modern Environment for Automation and Data Analysis

Effective Machine Learning Teams

Best Practices for ML Practitioners

Practical Machine Learning for Computer Vision

End-To-End Machine Learning for Images

Learning Algorithms

A Programmer's Guide to Writing Better Code

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