Advanced Machine Learning with Python

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

Python Machine Learning

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

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Deep Learning with PyTorch Quick Start Guide: Learn to train and deploy neural network models in Python

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

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

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

Designing Machine Learning Systems with Python

What Is Data Science?

Build a Large Language Model (From Scratch)

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

Python: Real World Machine Learning

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Python: Real-World Data Science

Python: Master the Art of Design Patterns

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Building Data Science Teams

Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code, Edition 3