Machine Learning Engineering with Python
Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This book will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.
Offered by
Difficulty Level
Intermediate
Completion Time
9h12m
Language
English
About Book
Who Is This Book For?
This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you're someone who manages or wants to understand the production life cycle of these systems, you'll find this book useful. Intermediate-level knowledge of Python is necessary.
Machine Learning Engineering with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h12m total length
Introduction to ML Engineering
The Machine Learning Development Process
From Model to Model Factory
Packaging Up
Deployment Patterns and Tools
Scaling Up
Building an Example ML Microservice
Building an Extract Transform Machine Learning Use Case
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