Explainable AI Recipes

Implement Solutions to Model Explainability and Interpretability with Python

Éditeur :

Apress

Paru le : 2023-02-08

Understand how to use Explainable AI (XAI) libraries and build trust in AI and machine learning models. This book utilizes a problem-solution approach to explaining machine learning models and their algorithms. The book starts with model interpretation for supervised learning linear models, whi...
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Éditeur

Collection
n.c

Parution
2023-02-08

Pages
254 pages

EAN papier
9781484290286

Auteur(s) du livre


Pradeepta Mishra is the Director of AI, Fosfor at L&T Infotech (LTI). He leads a large group of data scientists, computational linguistics experts, and machine learning and deep learning experts in building the next-generation product—Leni—which is the world’s first virtual data scientist. He has expertise across core branches of artificial intelligence, including autonomous ML and deep learning pipelines, ML ops, image processing, audio processing, natural language processing (NLP), natural language generation (NLG), design and implementation of expert systems, and personal digital assistants (PDAs). In 2019 and 2020, he was named one of "India's Top 40 Under 40 Data Scientists" by Analytics India magazine. Two of his books have been translated into Chinese and Spanish, based on popular demand. Pradeepa delivered a keynote session at the Global Data Science Conference 2018, USA. He delivered a TEDx talk on "Can Machines Think?", available on the official TEDx YouTube channel. He has mentored more than 2,000 data scientists globally. He has delivered 200+ tech talks on data science, ML, DL, NLP, and AI at various universities, meetups, technical institutions, and community-arranged forums. He is a visiting faculty member to more than 10 universities, where he teaches deep learning and machine learning to professionals, and mentors them in pursuing a rewarding career in artificial intelligence.

Caractéristiques détaillées - droits

EAN PDF
9781484290293
Prix
36,47 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
10516 Ko
EAN EPUB
9781484290293
Prix
36,47 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
17459 Ko

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