Currency
Rs.785.00
Availability: 87 left in stock

Dimensions:

176 mm × 250 mm

17.6 cm × 25 cm

6.93 inches × 9.84 inches

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. However, despite the promise of machine learning, many organisations need help deploying and managing machine learning models in production. This is where MLOps comes in. MLOps, or machine learning operations, is an emerging field that focuses on the deployment, management, and monitoring of machine learning models in production environments. MLOps combines the principles of DevOps with the unique requirements of machine learning

A Guide to Implementing MLOps by Prafful Mishra (Author)
- +

Dimensions:

176 mm × 250 mm

17.6 cm × 25 cm

6.93 inches × 9.84 inches

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. However, despite the promise of machine learning, many organisations need help deploying and managing machine learning models in production. This is where MLOps comes in. MLOps, or machine learning operations, is an emerging field that focuses on the deployment, management, and monitoring of machine learning models in production environments. MLOps combines the principles of DevOps with the unique requirements of machine learning

Translation missing: en.general.search.loading
Home Shop Manga