|
![]() |
|||
|
||||
OverviewFull Product DetailsAuthor: Prafful MishraPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG ISBN: 9783031820090ISBN 10: 3031820096 Pages: 132 Publication Date: 02 February 2025 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsChapter 1. Understanding MLOps.- Chapter 2. Providing Practical Guidance.- Chapter 3. The Gold Standard MLOps.- Chapter 4. Conclusion.ReviewsAuthor InformationPrafful Mishra is a seasoned engineer with extensive experience in operationalizing machine learning across organizations of varying scales. His expertise includes Site Reliability & Platform Engineering, and artificial intelligence, with a particular focus on MLOps. Prafful is passionate about emerging technologies such as quantum computing, federated learning, and explainable AI. He actively shares his insights through writing and speaking engagements, aiming to demystify complex concepts and foster innovation in the tech community. A strong advocate for open-source contributions, Prafful supports the democratization of technology, believing that collaborative development leads to more accessible and robust solutions. Tab Content 6Author Website:Countries AvailableAll regions |