David Ping

The Machine Learning Solutions Architect Handbook (eBook, PDF)

Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

• Format: PDF

Produktbeschreibung

No detailed description available for "The Machine Learning Solutions Architect Handbook".

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Produktdetails

• Verlag: De Gruyter
• Seitenzahl: 602
• Erscheinungstermin: 29. April 2024
• Englisch
• ISBN-13: 9781805124825
• Artikelnr.: 70400013

Autorenporträt

Ping David :

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.