Machine Learning Model Serving Patterns and Best Practices
Mastering the art of model serving is a crucial yet daunting task in the realm of machine learning. This comprehensive guide equips you with knowledge of various model serving techniques to seamlessly bring your machine learning models to fruition, while also highlighting the best practices in model deployment.
Offered by
Difficulty Level
Intermediate
Completion Time
11h12m
Language
English
About Book
Who Is This Book For?
This book is for machine learning engineers and data scientists who want to bring their models into production. Those who are familiar with machine learning and have experience of using machine learning techniques but are looking for options and strategies to bring their models to production will find great value in this book. Working knowledge of Python programming is a must to get started.
Machine Learning Model Serving Patterns and Best Practices
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h12m total length
Introducing Model Serving
Introducing Model Serving Patterns
Stateless Model Serving
Continuous Model Evaluation
Keyed Prediction
Batch Model Serving Pattern
Online Learning Model Serving
Two-Phase Model Pattern
Pipeline Pattern Model Serving
Ensemble Model Serving Pattern
Business Logic Pattern
Exploring Tensorflow Serving
Using Ray Serve
Using BentoML
Serving ML Models using a Fully Managed Cloud Solution
Related Resources
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