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You're reading from  The Machine Learning Solutions Architect Handbook - Second Edition

Product typeBook
Published inApr 2024
PublisherPackt
ISBN-139781805122500
Edition2nd Edition
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Author (1)
David Ping
David Ping
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David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
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Technical requirements

You will continue to use our AWS environment for the hands-on portion of this book. The associated code samples can be found at https://github.com/PacktPublishing/The-Machine-Learning-Solutions-Architect-and-Risk-Management-Handbook-Second-Edition/tree/main/Chapter11

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The Machine Learning Solutions Architect Handbook - Second Edition
Published in: Apr 2024Publisher: PacktISBN-13: 9781805122500

Author (1)

author image
David Ping

David Ping is an accomplished author and industry expert with over 28 years of experience in the field of data science and technology. He currently serves as the leader of a team of highly skilled data scientists and AI/ML solutions architects at AWS. In this role, he assists organizations worldwide in designing and implementing impactful AI/ML solutions to drive business success. David's extensive expertise spans a range of technical domains, including data science, ML solution and platform design, data management, AI risk, and AI governance. Prior to joining AWS, David held positions in renowned organizations such as JPMorgan, Credit Suisse, and Intel Corporation, where he contributed to the advancements of science and technology through engineering and leadership roles. With his wealth of experience and diverse skill set, David brings a unique perspective and invaluable insights to the field of AI/ML.
Read more about David Ping