Computational Intelligence Methods and Applications

Games, Markets, and Online Learning

Games, Markets, and Online Learning

Human-Centered Machine Learning

Kernel-Based Methods

Milestones and New Trends

Soccer Analytics with Machine Learning

Learning Predictive Modeling Techniques with Sports Data

Handbook of Reinforcement Learning

Superintelligence

Paths, Dangers, Strategies

The Laws of Thought

The Quest for a Mathematical Theory of the Mind

Analytics Engineering with SQL and Dbt

Building Meaningful Data Models at Scale

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

Learning AutoML

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

Data Governance: The Definitive Guide

People, Processes, and Tools to Operationalize Data Trustworthiness

Learning Algorithms

A Programmer's Guide to Writing Better Code

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Python for Excel

A Modern Environment for Automation and Data Analysis

Data Science on AWS

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

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

HBR Guide to Generative AI for Managers

HBR Guide

High Performance Spark

Best Practices for Scaling and Optimizing Apache Spark

AI

Unexplainable, Unpredictable, Uncontrollable

Mathematics for Machine Learning

R for Data Science, 2e

Import, Tidy, Transform, Visualize, and Model Data

AI Engineering

Building Applications with Foundation Models