How Long to Read Feature Store for Machine Learning

How Long Does it Take to Read Feature Store for Machine Learning?

It takes the average reader 4 hours and 42 minutes to read Feature Store for Machine Learning by Jayanth Kumar M J

Assuming a reading speed of 250 words per minute. Learn more

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.

How long is Feature Store for Machine Learning?

Feature Store for Machine Learning by Jayanth Kumar M J is 281 pages long, and a total of 70,531 words.

This makes it 95% the length of the average book. It also has 86% more words than the average book.

How Long Does it Take to Read Feature Store for Machine Learning Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours and 25 minutes to read Feature Store for Machine Learning aloud.

What Reading Level is Feature Store for Machine Learning?

Feature Store for Machine Learning is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Feature Store for Machine Learning?

Feature Store for Machine Learning by Jayanth Kumar M J is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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