Big Data Analytics and Knowledge Discovery

Introduction to Topology and Geometry

Market Data

A Structural Guide

Building Trusted Data Platforms with Azure Databricks and GenAI

A Hands-On Guide to Creating Governed Data Products in a Lakehouse

Financial AI in Practice

In Practice

Serverless ETL and Analytics with AWS Glue

Design scalable data lakes, optimize ETL pipelines, and accelerate analytics on AWS

Advanced Basketball Data Science

With Applications in R

Misclassification in Epidemiology

Mathematics and Statistics (R0)

Retrieval Augmented Generation, The Foundational Ideas

Principles for architecting reliable and verifiable AI

Thoughtful Data

A Guide to Empathy and Equity in Data Communication

Social Network Analytics

Empowering Data Engineering with Deep Learning and Large Language Models

Quantum Machine Learning

Revolutionizing Data Analysis and Optimization

Optimizing Decision-Making in Engineering

A Journey Mapping Perspective

Enabling Data

A New Model for Data-Driven Success in Your Organization

Artificial Intelligence Methods and Applications Enabling Healthcare 5.0

Demystifying Technologies for Computational Excellence

Not Just Another Model

The Art of AI Product Development in Enterprise Settings

Biomedical Data Science

A Step-by-Step Guide to Analysis and Interpretation

Machine Unlearning

Principles, Methods, and Evolving Frontiers

Advanced Data Science and Analytics with Python

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Data Architecture for Data Engineers

Practical Approaches to Building Scalable, Efficient Data Solutions with Real-World Applications

Technology-Led Tourism

Leveraging AI, Data and Analytics in Travel

The Value of People Analytics

Using HR Data and AI to Drive Business Results

Practical Data Science Environments with Python and R

Rethinking Social Science Research

New Methods and Perspectives

Causal Inference with Bayesian Networks

Build Bayesian Networks and Causal Inference Models with R and Python