Random Numbers and Computers

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

Practical Deep Learning: A Python-Based Introduction

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

Math for Programming

Chaos: Making a New Science

How AI Works: From Sorcery to Science

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Practical Deep Learning, 2nd Edition

Math for Deep Learning: What You Need to Know to Understand Neural Networks

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

Numbers and Computers

Simulation Solution Manual (Part I)

What Is Data Science?

Statistics For Dummies: Edition 2

Forecasting with Exponential Smoothing: The State Space Approach

Data Structures and Program Design Using C++

Mixed Models: Theory and Applications with R, Edition 2

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