Exploratory Data Analytics for Healthcare

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Convergence of Blockchain, AI, and IoT: Concepts and Challenges

AI Engineering: Building Applications with Foundation Models

Advances of Machine Learning for Knowledge Mining in Electronic Health Records

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves

IoT and Machine Learning for Smart Applications

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

What Is Data Science?

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

AI for Absolute Beginners: A Human-Friendly Guide to Understanding Artificial Intelligence

Before Machine Learning Volume 1 - Linear Algebra for A.I: The Fundamental Mathematics for Data Science and Artificial Intelligence

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

Introduction to the New Mainframe: z/OS Basics

ABCs of z/OS System Programming Volume 11: Volume 11

System z Crypto and TKE Update