Book

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 byPackt Logo

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.

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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