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  Trustworthy Online Controlled Experiments 1st Edition by Ron Kohavi, ISBN-13: 978-1108724265

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  Build a Large Language Model (From Scratch) by Sebastian Raschka, ISBN-13: 978-1633437166

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  Data Science from Scratch: First Principles with Python 2nd Edition by Joel Grus, ISBN-13: 978-1492041139

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  Learning SQL: Generate, Manipulate, and Retrieve Data 3rd Edition by Alan Beaulieu, ISBN-13: 978-1492057611

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  Fluent Python: Clear, Concise, and Effective Programming 2nd Edition by Luciano Ramalho, ISBN-13: 978-1492056355

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  Building Microservices: Designing Fine-Grained Systems 2nd Edition by Sam Newman, ISBN-13: 978-1492034025

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  Hands-On Large Language Models: Language Understanding and Generation by Jay Alammar, ISBN-13: 978-1098150969

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  AI Engineering: Building Applications with Foundation Models 1st Edition by Chip Huyen, ISBN-13: 978-1098166304

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  Fundamentals of Data Engineering: Plan and Build Robust Data Systems by Joe Reis, ISBN-13: 978-1098108304

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  Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications, ISBN-13: 978-1098107963

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  Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition, ISBN-13: 978-1098104030

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  Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2nd Edition, ISBN-13: 978-1492072942

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