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Introduction to Machine Learning with Python: A Guide for Data Scientists by [Müller, Andreas C., Guido, Sarah]
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Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition, Kindle Edition


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Product description

Book Description

An Introduction

About the Author

Andreas Muller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at the New York University. In the last four years, he has been maintainer and one of the core contributor of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms. Sarah is a data scientist who has spent a lot of time working in start-ups. She loves Python, machine learning, large quantities of data, and the tech world. She is an accomplished conference speaker, currently resides in New York City, and attended the University of Michigan for grad school.

Product details

  • Format: Kindle Edition
  • File Size: 43648.0 KB
  • Print Length: 396 pages
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (26 Sept. 2016)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B01M0LNE8C
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #41,034 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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