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

4.5 out of 5 stars 382 ratings
ISBN-13: 978-1449369415
ISBN-10: 1449369413
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Frequently bought together

  • Introduction to Machine Learning with Python: A Guide for Data Scientists
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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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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.

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Product details

  • Publisher : O'Reilly Media; 1st edition (November 1, 2016)
  • Language : English
  • Paperback : 400 pages
  • ISBN-10 : 1449369413
  • ISBN-13 : 978-1449369415
  • Item Weight : 1.3 pounds
  • Dimensions : 7 x 0.82 x 9.19 inches
  • Customer Reviews:
    4.5 out of 5 stars 382 ratings

Customer reviews

4.5 out of 5 stars
4.5 out of 5
382 global ratings
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Reviewed in the United States on May 16, 2019
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Reviewed in the United States on June 9, 2019
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Reviewed in the United States on August 20, 2019
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Reviewed in the United States on August 6, 2018
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Reviewed in the United States on November 1, 2016
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Reviewed in the United States on October 28, 2019
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Top reviews from other countries

Mike
3.0 out of 5 stars Not really that great
Reviewed in the United Kingdom on August 13, 2018
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8 people found this helpful
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Ben
5.0 out of 5 stars Good guide to starting ML
Reviewed in the United Kingdom on March 1, 2020
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Oya Kesgin
1.0 out of 5 stars not worth buying it
Reviewed in the United Kingdom on February 4, 2019
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5 people found this helpful
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Harish Sudarsanan
4.0 out of 5 stars Must read for Machine Learning starters.
Reviewed in India on February 16, 2017
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41 people found this helpful
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Paulo
4.0 out of 5 stars Lear how to apply ML DL techniques to datasets.
Reviewed in the United Kingdom on May 1, 2021
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