Feature Store for Machine Learning
This book is written for developers who want to start using feature stores. This is a comprehensive overview that will teach you how to store, transform, curate, and share features. With the help of practical examples, you’ll learn best practices for training, inference, and reusing features for other ML pipelines.
Offered by
Difficulty Level
Intermediate
Completion Time
9h20m
Language
English
About Book
Who Is This Book For?
If you have a solid grasp on machine learning basics, but need a comprehensive overview of feature stores to start using them, then this book is for you. Data/machine learning engineers and data scientists who build machine learning models for production systems in any domain, those supporting data engineers in productionizing ML models, and platform engineers who build data science (ML) platforms for the organization will also find plenty of practical advice in the later chapters of this book.
Feature Store for Machine Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h20m total length
An Overview of the Machine Learning Life Cycle
What Problems Do Feature Stores Solve?
Feature Store Fundamentals, Terminology, and Usage
Adding Feature Store to ML Models
Model Training and Inference
Model to Production and Beyond
Feast Alternatives and ML Best Practices
Use Case – Customer Churn Prediction
Related Resources
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