Description: Further DetailsTitle: Machine Learning on KubernetesCondition: NewSubtitle: A practical handbook for building and using a complete open source machine learning platform on KubernetesEAN: 9781803241807ISBN: 9781803241807Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 06/24/2022Description: Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologiesKey FeaturesBuild a complete machine learning platform on KubernetesImprove the agility and velocity of your team by adopting the self-service capabilities of the platformReduce time-to-market by automating data pipelines and model training and deploymentBook Description 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.What you will learnUnderstand the different stages of a machine learning projectUse open source software to build a machine learning platform on KubernetesImplement a complete ML project using the machine learning platform presented in this bookImprove on your organization's collaborative journey toward machine learningDiscover how to use the platform as a data engineer, ML engineer, or data scientistFind out how to apply machine learning to solve real business problemsWho this book is for This book is for data scientists, data engineers, IT platform owners, AI product owners, and data architects who want to build their own platform for ML development. Although this book starts with the basics, a solid understanding of Python and Kubernetes, along with knowledge of the basic concepts of data science and data engineering will help you grasp the topics covered in this book in a better way.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Faisal Masood, Ross BrigoliGenre: Computing & InternetRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Machine Learning on Kubernetes
Title: Machine Learning on Kubernetes
Subtitle: A practical handbook for building and using a complete open sourc
EAN: 9781803241807
ISBN: 9781803241807
Release Date: 06/24/2022
Release Year: 2022
Country/Region of Manufacture: GB
Item Height: 93mm
Item Length: 75mm
Genre: Computing & Internet
Publisher: Packt Publishing, The Limited
Subject: Computer Science, General, Data Processing, Computer Engineering
Publication Year: 2022
Number of Pages: 384 Pages
Language: English
Publication Name: Machine Learning on Kubernetes : A Practical Handbook for Building and Using a Complete Open Source Machine Learning Platform on Kubernetes
Type: Textbook
Subject Area: Computers, Science
Author: Faisal Masood, Ross Brigoli
Format: Trade Paperback
