ML/DL/AI Reading List (13 books)

A shortlist of ML, DL or general AI books I consider worthy to buy

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1	Designing Data-Intensive Applications by Martin Kleppmann (Goodreads Author) 4.70 avg rating — 10,606 ratings score: 100, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
2	Machine Learning Engineering by Andriy Burkov (Goodreads Author) 4.32 avg rating — 149 ratings score: 99, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
3	Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurélien Géron 4.55 avg rating — 2,807 ratings score: 98, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
4	AI Engineering: Building Applications with Foundation Models by Chip Huyen (Goodreads Author) 4.45 avg rating — 833 ratings score: 97, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
5	Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan (Goodreads Author) 4.15 avg rating — 276 ratings score: 96, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
6	Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen (Goodreads Author) 4.45 avg rating — 1,030 ratings score: 95, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
7	Pattern Recognition and Machine Learning by Christopher M. Bishop 4.32 avg rating — 1,904 ratings score: 94, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
8	Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis 4.18 avg rating — 912 ratings score: 93, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
9	Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar 4.30 avg rating — 223 ratings score: 92, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
10	Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin 4.35 avg rating — 23,441 ratings score: 91, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
11	Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples by Andrew McMahon 4.15 avg rating — 13 ratings score: 90, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
12	System Design Interview – An insider's guide by Alex Xu 4.26 avg rating — 3,329 ratings score: 89, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
13	Machine Learning System Design Interview by Ali Aminian (Goodreads Author) 4.28 avg rating — 117 ratings score: 88, and 1 person voted	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars