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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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The mission

Picture yourself, a data science consultant, in a conference room in Fort Worth, Texas, during early January 2019. In this conference room, executives for one of the world’s largest airlines, American Airlines (AA), are briefing you on their On-Time Performance (OTP). OTP is a widely accepted Key Performance Indicator (KPI) for flight punctuality. It is measured as the percentage of flights that arrived within 15 minutes of the scheduled arrival. It turns out that AA has achieved an OTP of just over 80% for 3 years in a row, which is acceptable, and a significant improvement, but they are still ninth in the world and fifth in North America. To brag about it next year in their advertising, they aspire to achieve, at least, number one in North America for 2019, besting their biggest rivals.

On the financial front, it is estimated that delays cost the airline close to $2 billion, so reducing this by 25–35% to be on parity with their competitors could produce...

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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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