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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
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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.
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The mission

The privately contracted security services industry market worldwide is valued at over USD 250 billion and is growing at around 5% annually. However, it faces many challenges, such as shortages of adequately trained guards and specialized security experts in many jurisdictions, and a whole host of unexpected security threats. These threats include widespread coordinated cybersecurity attacks, massive riots, social upheaval, and, last but not least, health risks brought on by pandemics. Indeed, 2020 tested the industry with a wave of ransomware, misinformation attacks, protests, and COVID-19 to boot.

In the wake of this, one of the largest hospital networks in the United States asked their contracted security company to monitor the correct use of masks by both visitors and personnel throughout the hospitals. The security company has struggled with this request because it diverts security personnel from tackling other threats, such as intruders, combative patients, and...

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Interpretable Machine Learning with Python - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781803235424

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