Lecture Notes in Computer Science

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

Games, Markets, and Online Learning

Games, Markets, and Online Learning

Human-Centered Machine Learning

Kernel-Based Methods

Milestones and New Trends

Statistics in Clinical Development of Cancer Drugs

Recent Trends & Advances

Securing the Internet of Things

Machine Learning and Beyond

Handbook of Reinforcement Learning

Soccer Analytics with Machine Learning

Learning Predictive Modeling Techniques with Sports Data

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

Frontiers in Engineering, Science and Technology

Taylor and Francis Proceedings in Computer Science and Engineering

Beyond the Human Touch

AI's Revolution in Healthcare

Beyond the Human Touch

AI's Revolution in Healthcare

Smart and Distributed Computing

Taylor and Francis Proceedings in Computer Science and Engineering

Mathematics for Machine Learning

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

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images