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11 de jun. de 2019 · To really learn data science, you should not only master the tools―data science libraries, frameworks, modules, and toolkits―but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from ...
12 de abr. de 2019 · With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for...
Get a crash course in Python. Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science. Collect, explore, clean, munge, and...
With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking ...
26 de may. de 2015 · Get a crash course in Python. Learn the basics of linear algebra, statistics, and probability―and understand how and when they're used in data science. Collect, explore, clean, munge, and manipulate data. Dive into the fundamentals of machine learning.
Data Science from Scratch: First Principles with Python. 2nd Edición, Edición Kindle. To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them.
Learn data science from scratch with Python, covering math, statistics, machine learning, deep learning, and more. This book shows you how to implement data science tools and algorithms from first principles, with examples and exercises.
