Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Author:   Serg Masís
Publisher:   Packt Publishing Limited
ISBN:  

9781800203907


Pages:   736
Publication Date:   26 March 2021
Format:   Paperback
Availability:   Available To Order   Availability explained
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Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples


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Author:   Serg Masís
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781800203907


ISBN 10:   180020390
Pages:   736
Publication Date:   26 March 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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 start-up, 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 robustly.

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