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Data Science from Scratch
406 pages, 2019
Takeaways
Description
Data science libraries, frameworks, modules, and toolkits can help you get started doing data science, but many of them don't actually teach you about the discipline. In this book, author Joel Grus helps you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to be successful in this field. Today's glut of messy data can hold answers to questions no one has even thought to ask. This book equips you with the know-how to find those answers.

