Feature Store for Machine Learning

person icon Packt Publishing

Feature Store for Machine Learning

Feature Store for Machine Learning

person icon Jayanth Kumar M J

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Machine Learning,Python,IT & Software


This eBook includes

Formats : PDF (Read Only)

Pages : 280

ISBN : 9781803245980

Language : English

About the Book

Book description

Learn how to leverage feature stores to make the most of your machine learning models

Key Features

  • Understand the significance of feature stores in the ML life cycle
  • Discover how features can be shared, discovered, and re-used
  • Learn to make features available for online models during inference

Book Description

Feature store is one of the storage layers in machine learning (ML) operations, where data scientists and ML engineers can store transformed and curated features for ML models. This makes them available for model training, inference (batch and online), and reuse in other ML pipelines. Knowing how to utilize feature stores to their fullest potential can save you a lot of time and effort, and this book will teach you everything you need to know to get started.

Feature Store for Machine Learning is for data scientists who want to learn how to use feature stores to share and reuse each other's work and expertise. You’ll be able to implement practices that help in eliminating reprocessing of data, providing model-reproducible capabilities, and reducing duplication of work, thus improving the time to production of the ML model. While this ML book offers some theoretical groundwork for developers who are just getting to grips with feature stores, there's plenty of practical know-how for those ready to put their knowledge to work. With a hands-on approach to implementation and associated methodologies, you'll get up and running in no time.

By the end of this book, you’ll have understood why feature stores are essential and how to use them in your ML projects, both on your local system and on the cloud.

What you will learn

  • Understand the significance of feature stores in a machine learning pipeline
  • Become well-versed with how to curate, store, share and discover features using feature stores
  • Explore the different components and capabilities of a feature store
  • Discover how to use feature stores with batch and online models
  • Accelerate your model life cycle and reduce costs
  • Deploy your first feature store for production use cases

Who this book is 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

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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