THELIB
Category Rules Rules Log in
  • Books
  • AI and ML
  • MLOps
  • Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps
A

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

MLOps
# MLOps# machine learning# Docker# Kubernetes# CI/CD# cloud platforms# production deployment
Author
Suhas Pote
Publisher
BPB Online
Year
2023
Language
English
43
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

Hien Luu, Max Pumperla, Zhe Zhang

Building Machine Learning Powered Applications: Going from Idea to Product

Building Machine Learning Powered Applications: Going from Idea to Product

Emmanuel Ameisen

Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Pramod Singh

Machine Learning Methods

Machine Learning Methods

Hang Li

MATLAB Machine Learning Recipes: A Problem-Solution Approach

MATLAB Machine Learning Recipes: A Problem-Solution Approach

Michael Paluszek, Stephanie Thomas

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Chip Huyen

Practical Machine Learning on Databricks

Practical Machine Learning on Databricks

Debu Sinha

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

LLM Engineer’s Handbook: Master the art of engineering large language models from concept to production

Paul Iusztin, Maxime Labonne

Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth

Vadim Smolyakov

THELIB

IT book library with translation into 8 languages.

Catalog

  • Books
  • Categories
  • Rules
  • Agreement

Account

  • Register
  • Log in
  • Support

Info

  • thelib.cc
  • v0.1
© 2026 THELIB 8 languages · AI translation on the fly