Machine Learning Engineering

Intelligent Manufacturing Systems

Digitalization of Industrial Production

An Introduction to Large Language Models

An Introduction to Large Language Models

Securing the Internet of Things

Machine Learning and Beyond

Superintelligence

Paths, Dangers, Strategies

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Handbook of Reinforcement Learning

How To Think About AI A Guide For The Perplexed

A Guide For The Perplexed

HBR Guide to Generative AI for Managers

HBR Guide

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

Learning AutoML

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

A Brief History of Intelligence

Why the Evolution of the Brain Holds the Key to the Future of AI

Think Python 3e

How To Think Like a Computer Scientist

AI

Unexplainable, Unpredictable, Uncontrollable

Learning Algorithms

A Programmer's Guide to Writing Better Code

AI Engineering

Building Applications with Foundation Models

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

Effective Machine Learning Teams

Best Practices for ML Practitioners

Deciphering Data Architectures

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

Building Applications with AI Agents

Designing and Implementing Multi-Agent Systems

Hands-On Large Language Models

Language Understanding and Generation

SQL for Data Analysis

Advanced Techniques for Transforming Data into Insights