Machine Learning on Kubernetes
Machine Learning on Kubernetes guides you on how to implement the entire machine learning life cycle on the Kubernetes platform. The topics covered in this book help you to acquire the fundamental knowledge needed to set up and use a set of open source tools to deliver intelligent applications to production.
Offered by
Difficulty Level
Intermediate
Completion Time
12h48m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way.
Machine Learning on Kubernetes
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h48m total length
Challenges in Machine Learning
Understanding MLOps
Exploring Kubernetes
The Anatomy of a Machine Learning Platform
Data Engineering
Machine Learning Engineering
Model Deployment and Automation
Building a Complete ML Project Using the Platform
Building Your Data Pipeline
Building, Deploying and Monitoring Your Model
Machine Learning on Kubernetes
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