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You're reading from  The Definitive Guide to Google Vertex AI

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781801815260
Edition1st Edition
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Authors (2):
Jasmeet Bhatia
Jasmeet Bhatia
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Jasmeet Bhatia

Jasmeet is a Machine Learning Architect with over 8 years of experience in Data Science and Machine Learning Engineering at Google and Microsoft, and overall has 17 years of experience in Product Engineering and Technology consulting at Deloitte, Disney, and Motorola. He has been involved in building technology solutions that focus on solving complex business problems by utilizing information and data assets. He has built high performing engineering teams, designed and built global scale AI/Machine Learning, Data Science, and Advanced analytics solutions for image recognition, natural language processing, sentiment analysis, and personalization.
Read more about Jasmeet Bhatia

Kartik Chaudhary
Kartik Chaudhary
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Kartik Chaudhary

​Kartik is an Artificial Intelligence and Machine Learning professional with 6+ years of industry experience in developing and architecting large scale AI/ML solutions using the technological advancements in the field of Machine Learning, Deep Learning, Computer Vision and Natural Language Processing. Kartik has filed 9 patents at the intersection of Machine Learning, Healthcare, and Operations. Kartik loves sharing knowledge, blogging, travel, and photography.
Read more about Kartik Chaudhary

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What is Explainable AI and why is it important for MLOps practitioners?

XAI refers to methods and techniques that are used in the domain of AI that aim to make the decision-making processes of AI models transparent, interpretable, and understandable to humans. Instead of acting as black boxes where input data goes in and a decision or prediction comes out without clarity on how the decision was reached, XAI seeks to provide insights into the inner workings of models. This transparency allows users, developers, and stakeholders to trust and validate the system’s decisions, ensuring they align with ethical, legal, and practical considerations.

As ML continues to advance and its applications permeate various industries, the need for transparent and interpretable models has become a pressing concern. XAI aims to address this by developing techniques for understanding, interpreting, and explaining ML models. For MLOps practitioners working with Google Cloud, incorporating XAI...

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The Definitive Guide to Google Vertex AI
Published in: Dec 2023Publisher: PacktISBN-13: 9781801815260

Authors (2)

author image
Jasmeet Bhatia

Jasmeet is a Machine Learning Architect with over 8 years of experience in Data Science and Machine Learning Engineering at Google and Microsoft, and overall has 17 years of experience in Product Engineering and Technology consulting at Deloitte, Disney, and Motorola. He has been involved in building technology solutions that focus on solving complex business problems by utilizing information and data assets. He has built high performing engineering teams, designed and built global scale AI/Machine Learning, Data Science, and Advanced analytics solutions for image recognition, natural language processing, sentiment analysis, and personalization.
Read more about Jasmeet Bhatia

author image
Kartik Chaudhary

​Kartik is an Artificial Intelligence and Machine Learning professional with 6+ years of industry experience in developing and architecting large scale AI/ML solutions using the technological advancements in the field of Machine Learning, Deep Learning, Computer Vision and Natural Language Processing. Kartik has filed 9 patents at the intersection of Machine Learning, Healthcare, and Operations. Kartik loves sharing knowledge, blogging, travel, and photography.
Read more about Kartik Chaudhary