[PDF.72ku] Data Science from Scratch: First Principles with Python
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Data Science from Scratch: First Principles with Python
Joel Grus
[PDF.gn00] Data Science from Scratch: First Principles with Python
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| #7349 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||28 of 29 people found the following review helpful.| Highly recommended for every non-statistician that wants to be a Data Scientist|By Public name|In my view, too many people want to be data scientist and use advance statistical techniques that they don't fully understand. I believe Grus closes this gap with this fun introductory book to some of the basic techniques in data analysis. If you don't come from a statistical backgr|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 can specify the type of files you want, for your gadget.Data Science from Scratch: First Principles with Python | Joel Grus. A good, fresh read, highly recommended.
