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A Guide to Implementing MLOps de Prafful Mishra

A Guide to Implementing MLOps: Synthesis Lectures on Engineering, Science, and Technology

Autor Prafful Mishra
en Limba Engleză Hardback – 2 feb 2025
Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data. MLOps, or machine learning operations, is an emerging field that focuses on the deployment, management, and monitoring of machine learning models in production environments.
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Specificații

ISBN-13: 9783031820090
ISBN-10: 3031820096
Pagini: 148
Dimensiuni: 173 x 246 x 14 mm
Greutate: 0.38 kg
Editura: Springer
Colecția Synthesis Lectures on Engineering, Science, and Technology
Seria Synthesis Lectures on Engineering, Science, and Technology

Notă biografică

Prafful 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.