Pattern Recognition

Securing the Internet of Things

Machine Learning and Beyond

Superintelligence

Paths, Dangers, Strategies

Handbook of Reinforcement Learning

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

HBR Guide to Generative AI for Managers

HBR Guide

Mathematics for Machine Learning

Think Python 3e

How To Think Like a Computer Scientist

How To Think About AI A Guide For The Perplexed

A Guide For The Perplexed

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Technology for a Resilient Future

Taylor and Francis Proceedings in Computer Science and Engineering

Sustainable Developments in Computer Engineering, Green Technology and Smart Systems

2 Volume Set

Learning AutoML

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

Deciphering Data Architectures

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

Effective Machine Learning Teams

Best Practices for ML Practitioners

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

Learning Algorithms

A Programmer's Guide to Writing Better Code

Smart Systems and Beyond

Redefining Computing and Robotics through AI

Beyond Vibe Coding

From Coder to Ai-Era Developer

Foundations of Robotics

Mechatronics, Cybernetics, and AI

Foundations of Robotics

Mechatronics, Cybernetics, and AI

An Introduction to Large Language Models