×
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 :: »

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

(ebook) (audiobook) (audiobook) Książka w języku 1
Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples Andrew McMahon - okladka książki

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples Andrew McMahon - okladka książki

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples Andrew McMahon - audiobook MP3

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples Andrew McMahon - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
276
Dostępne formaty:
     PDF
     ePub
     Mobi

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

Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.

Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.

By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.

Wybrane bestsellery

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