×
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 :: »

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations

(ebook) (audiobook) (audiobook) Książka w języku angielskim
MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - okladka książki

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - okladka książki

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - audiobook MP3

MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations Ross Brigoli, Faisal Masood - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
238
Dostępne formaty:
     PDF
     ePub

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

129,00 zł (-10%)
116,10 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(29,90 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

MLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more.
With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform.
As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models.
Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.

Wybrane bestsellery

O autorach książki

Ross Brigoli is an associate principal architect at Red Hat. He has been designing and building software in various industries for over 18 years. He has designed and built data platforms and workflow automation platforms. Before Red Hat, Ross led a data engineering team as an architect in the financial services industry. He currently designs and builds microservices architectures and machine learning solutions on OpenShift.
Faisal Masood is a principal architect at Red Hat. He has been helping teams to design and build data science and application platforms using OpenShift, Red Hat’s enterprise Kubernetes offering. Faisal has over 20 years of experience in building software and has been building microservices since the pre-Kubernetes era.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
116,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint