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Data Science from Scratch: First Principles with Python


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 | #11883 in Books |  imusti |  2015-04-30 | Original language:English | PDF # 1 |  9.17 x.69 x7.01l,.0 | File type: PDF | 330 pages

 | Oreilly Associates Inc

||72 of 77 people found the following review helpful.| Great introduction, Easy read. Buy it.|By TxF|This is a great book-- well written, easy to digest and informative. I've been in Data Mining and Statistical Analysis for a little over a decade now; I was looking for a book to share with my team to ensure we were all up-to-speed on some foundational concepts: this book is it. EDIT: I also forgot to mention, it has probably|About the Author|
|Joel Grus is a software engineer at Google. Before that he worked as a data scientist at multiple startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, 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...

You easily download any file type for your device.Data Science from Scratch: First Principles with Python   |  Joel Grus. I really enjoyed this book and have already told so many people about it!

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