Del i serien Synthesis Lectures on Engineering, Science, and Technology

Guide to Implementing MLOps

From Data to Operations

Inbunden, Engelska, 2025

AvPrafful Mishra

649 kr

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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.

Produktinformation

Utgivningsdatum2025-02-02
Mått168 x 240 x 14 mm
Vikt435 g
FormatInbunden
SpråkEngelska
SerieSynthesis Lectures on Engineering, Science, and Technology
Antal sidor132
FörlagSpringer International Publishing AG
ISBN9783031820090

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

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.