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Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples Paperback – 26 March 2021

4.9 out of 5 stars 23 ratings

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About the Author

Serg Masís has been at the confluence of the internet, application development, and analytics for the last two decades. Currently, he's a Climate and Agronomic Data Scientist at Syngenta, a leading agribusiness company with a mission to improve global food security. Before that role, he co-founded a startup, incubated by Harvard Innovation Labs, that combined the power of cloud computing and machine learning with principles in decision-making science to expose users to new places and events. Whether it pertains to leisure activities, plant diseases, or customer lifetime value, Serg is passionate about providing the often-missing link between data and decision-making ― and machine learning interpretation helps bridge this gap more robustly.
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Product details

  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 736 pages
  • ISBN-10 ‏ : ‎ 180020390X
  • ISBN-13 ‏ : ‎ 978-1800203907
  • Customer reviews:
    4.9 out of 5 stars 23 ratings

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Amazon.com: 4.9 out of 5 stars 16 reviews
M. Borel
5.0 out of 5 stars Keep as a permanent reference when working in interpretable machine learning.
27 April 2021 - Published on Amazon.com
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3 people found this helpful
N. J. Cruz
5.0 out of 5 stars Great guide for those who look to apply Machine Learning tools, specially with Python
20 June 2021 - Published on Amazon.com
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Dave Arteaga
5.0 out of 5 stars Great purchase
21 June 2021 - Published on Amazon.com
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Jaime Penser
5.0 out of 5 stars Excellent book for modern coders
20 June 2021 - Published on Amazon.com
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Tony
5.0 out of 5 stars Good read
11 July 2021 - Published on Amazon.com
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