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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
The Hundred-Page Machine Learning Book
