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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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Speculating on the future of ML interpretability

I'm used to hearing the metaphor of this period being the "Wild West of AI", or worse, an "AI Gold Rush"! It conjures images of unexplored and untamed territory being eagerly conquered, or worse, civilized. Yet, in the 19th century, the United States' western areas were not too different from other regions on the planet and had already been inhabited by Native Americans for millennia, so the metaphor doesn't quite work. Predicting with the accuracy and confidence that we can achieve with ML would spook our ancestors and is not a "natural" position for us humans. It's more akin to flying than exploring unknown land.

The article Toward the Jet Age of machine learning (linked in the Further reading section at the end of this chapter) presents a much more fitting metaphor of AI being like the dawn of aviation. It's new and exciting, and people still marvel at what we can do from down below...

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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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