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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.
Read more about Serg Masís

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Index

A

Ablation-CAM 255

accuracy 63

advanced feature selection methods 383, 386

autoencoders 387

dimensionality reduction 387

genetic algorithms 387, 388

model-agnostic feature importance 386, 387

adversarial attacks 14, 66, 513

backdooring 523

Carlini and Wagner infinity
norm attack 526-528

evasion attacks 523

fast gradient sign method attack 525, 526

inference attacks 523

poisoning 523

reprogramming 523

targeted adversarial patch attack 528-531

trojaning 523

adversarial defenses

detection 531

postprocessing 531

preprocessing 531

training 531

transformer 531

Adversarial Patches (APs) 528

adversarial robustness 550

evaluating 541

model robustness, comparing with attack strength 541-543

Adversarial Robustness Toolbox (ART) 524

adversarial training 531

Akaike's Information Criteria (AIC) 380

algorithmic governance 12

algorithmic transparency 10

American...

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Published in: Oct 2023Publisher: PacktISBN-13: 9781803235424
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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