PDF Data Science from Scratch: First Principles with Python Writen By Joel Grus
Data Science from Scratch: First Principles with Python
By : Joel Grus
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Book Synopsis :
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 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 the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.* Get a crash course in Python* Learn the basics of linear algebra, statistics, and probability--and how and when they're used in data science* Collect, explore, clean, munge, and manipulate data* Dive into the fundamentals of machine
Book Detail :
Author : Joel Grus
Pages : 406 pages
Publisher : O'Reilly Media
Language : eng
ISBN-10 : 1492041130
ISBN-13 : 9781492041139
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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