Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition, Kindle Edition

3.8 out of 5 stars 16 customer reviews
ISBN-13: 978-1449369415
ISBN-10: 1449369413
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Editorial Reviews

About the Author

Andreas Müller 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

  • File Size: 44643 KB
  • Print Length: 394 pages
  • Page Numbers Source ISBN: 1449369413
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (September 26, 2016)
  • Publication Date: September 26, 2016
  • Sold by: Amazon Digital Services LLC
  • Language: English
  • ASIN: B01M0LNE8C
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #54,709 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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