×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale

(ebook) (audiobook) (audiobook) Książka w języku 1
Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Jayanth Kumar M J - okladka książki

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Jayanth Kumar M J - okladka książki

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Jayanth Kumar M J - audiobook MP3

Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale Jayanth Kumar M J - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
280
Dostępne formaty:
     PDF
     ePub

Ebook (29,90 zł najniższa cena z 30 dni)

119,00 zł (-10%)
107,10 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(29,90 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

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.

Wybrane bestsellery

O autorze książki

Jayanth Kumar M J is a Lead Data engineer at Cimpress USA. He specializes in building platform components for data scientists and data engineers to make MLops smooth and self-service. He is also a Feast feature store contributor.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
107,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint