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  • Data Science from Scratch: First Principles with Python

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Data Science from Scratch: First Principles with Python

by Joel Grus (Author) Format: Paperback
4.4 out of 5 stars (780)

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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 learning
  • Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering
  • Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Read more
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  1. ISBN-10
    1492041130
  2. ISBN-13
    978-1492041139
  3. Edition
    2nd
  4. Publisher
    O'Reilly Media
  5. Publication date
    June 11, 2019
  6. Language
    English
  7. Dimensions
    6.9 x 0.9 x 9.1 inches
  8. Print length
    403 pages
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Editorial Reviews

About the Author

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence. Previously he worked as a software engineer at Google and a data scientist at several startups. He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com and tweets all day long at @joelgrus.

Product details

  • Publisher ‏ : ‎ O'Reilly Media
  • Publication date ‏ : ‎ June 11, 2019
  • Edition ‏ : ‎ 2nd
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 403 pages
  • ISBN-10 ‏ : ‎ 1492041130
  • ISBN-13 ‏ : ‎ 978-1492041139
  • Item Weight ‏ : ‎ 1.57 pounds
  • Dimensions ‏ : ‎ 6.9 x 0.9 x 9.1 inches
  • Best Sellers Rank: #120,078 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.4 out of 5 stars (780)

About the author

Follow authors to get new release updates, plus improved recommendations.
Joel Grus

Joel Grus

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Joel Grus is Principal Engineer at Capital Group, where he leads a small team that designs and implements machine learning and data products. Before that he was a software engineer at the Allen Institute for AI and Google, and a data scientist at a variety of startups.

He's the author of the the beloved "Data Science from Scratch", the quirky "Ten Essays on Fizz Buzz", and the polarizing JupyterCon talk "I Don't Like Notebooks".

He lives in Seattle, where he regularly attends data science happy hours. He blogs infrequently at joelgrus.com.

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