Tritt ein in eine Welt voller Geschichten
Sachbuch
MLOps is an emerging field that aims to bring repeatability, automation, and standardization of the software engineering domain to data science and machine learning engineering. By implementing MLOps with Kubernetes, data scientists, IT professionals, and data engineers can collaborate and build machine learning solutions that deliver business value for their organization.
You'll begin by understanding the different components of a machine learning project. Then, you'll design and build a practical end-to-end machine learning project using open source software. As you progress, you'll understand the basics of MLOps and the value it can bring to machine learning projects. You will also gain experience in building, configuring, and using an open source, containerized machine learning platform. In later chapters, you will prepare data, build and deploy machine learning models, and automate workflow tasks using the same platform. Finally, the exercises in this book will help you get hands-on experience in Kubernetes and open source tools, such as JupyterHub, MLflow, and Airflow.
By the end of this book, you'll have learned how to effectively build, train, and deploy a machine learning model using the machine learning platform you built.
© 2022 Packt Publishing (E-Book): 9781803231655
Erscheinungsdatum
E-Book: 24. Juni 2022
Tags
Über 600.000 Titel
Lade Titel herunter mit dem Offline Modus
Exklusive Titel und Storytel Originals
Sicher für Kinder (Kindermodus)
Einfach jederzeit kündbar
Erhalte 50% Rabatt für 6 Monate auf mehr als 600.000 Geschichten.
1 Konto
Unbegrenzter Zugriff
Jederzeit kündbar
Wechsel zu Basic jederzeit möglich
Für alle, die gelegentlich hören und lesen.
1 Konto
20 Stunden/pro Monat
Jederzeit kündbar
Abo-Upgrade jederzeit möglich
Deutsch
Deutschland