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You're reading from  Interpretable Machine Learning with Python - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781803235424
Edition2nd Edition
Concepts
Machine Learning
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Author (1)
Serg Masís
Serg Masís
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Serg Masís

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.
Read more about Serg Masís

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Mission accomplished

It’s often the data that takes the blame for a poor-performing, uninterpretable, or biased model, and that can be true, but many different things can be done in the preparation and model development stages to improve it. To offer an analogy, it’s like baking a cake. You need quality ingredients, yes. But seemingly small differences in the preparation of these ingredients and baking itself—such as the baking temperature, the container used, and time—can make a huge difference. Hell! Even things that are out of your control, such as atmospheric pressure or moisture, can impact baking! Even after it’s all finished, how many different ways can you assess the quality of a cake?

This chapter is about these many details, and, as with baking, they are part exact science and part art form. The concepts discussed in this chapter also have far-reaching consequences, especially regarding how to optimize a problem that doesn’t...

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Interpretable Machine Learning with Python - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781803235424
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Serg Masís

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.
Read more about Serg Masís

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