Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes by Masood, Faisal
Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes by Masood, Faisal

Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and...
HK$828.33
HK$828.33
SKU: 9781803241807
Product Type: Books
Please hurry! Only 258 left in stock
Author: Faisal Masood
Format: Paperback
Language: English
Subtotal: $828.33
10 customers are viewing this product
Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes by Masood, Faisal

Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes

$828.33
Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes by Masood, Faisal

Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes

$828.33
Author: Faisal Masood
Format: Paperback
Language: English
Description

Build a Kubernetes-based self-serving, agile data science and machine learning ecosystem for your organization using reliable and secure open source technologies


Key Features:

  • Build a complete machine learning platform on Kubernetes
  • Improve the agility and velocity of your team by adopting the self-service capabilities of the platform
  • Reduce time-to-market by automating data pipelines and model training and deployment


Book 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 Learn:

  • Understand the different stages of a machine learning project
  • Use open source software to build a machine learning platform on Kubernetes
  • Implement a complete ML project using the machine learning platform presented in this book
  • Improve on your organization's collaborative journey toward machine learning
  • Discover how to use the platform as a data engineer, ML engineer, or data scientist
  • Find out how to apply machine learning to solve real business problems


Who 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.

Author: Faisal Masood, Ross Brigoli
Publisher: Packt Publishing
Published: 06/24/2022
Pages: 384
Binding Type: Paperback
Weight: 1.45lbs
Size: 9.25h x 7.50w x 0.79d
ISBN: 9781803241807

This title is not returnable

Shipping & Return

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Review

Related Products

Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33
Example product title
HK$828.33
HK$828.33

Recently Viewed Products