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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
Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (3rd Edition) (Voices That Matter)
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
The Rules of Contagion: Why Things Spread--And Why They Stop
Data Science from Scratch: First Principles with Python
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
