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Machine Learning at Scale with H2O
Machine Learning at Scale with H2O

Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems

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Profile Icon Gregory Keys Profile Icon David Whiting
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$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback Jul 2022 396 pages 1st Edition
eBook
$33.99
Paperback
$41.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Gregory Keys Profile Icon David Whiting
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (2 Ratings)
Paperback Jul 2022 396 pages 1st Edition
eBook
$33.99
Paperback
$41.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$33.99
Paperback
$41.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Build highly accurate state-of-the-art machine learning models against large-scale data
  • Deploy models for batch, real-time, and streaming data in a wide variety of target production systems
  • Explore all the new features of the H2O AI Cloud end-to-end machine learning platform

Description

H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments. Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You’ll start by exploring H2O’s in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You’ll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You’ll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you’ll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities. By the end of this book, you’ll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.

Who is this book for?

This book is for data scientists and machine learning engineers who want to gain hands-on machine learning experience by building and deploying state-of-the-art models with advanced techniques using H2O technology. An understanding of the data science process and experience in Python programming is recommended. This book will also benefit students by helping them understand how machine learning works in real-world enterprise scenarios.

What you will learn

  • Build and deploy machine learning models using H2O
  • Explore advanced model-building techniques
  • Integrate Spark and H2O code using H2O Sparkling Water
  • Launch self-service model building environments
  • Deploy H2O models in a variety of target systems and scoring contexts
  • Expand your machine learning capabilities on the H2O AI Cloud

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 29, 2022
Length: 396 pages
Edition : 1st
Language : English
ISBN-13 : 9781800566019
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Product Details

Publication date : Jul 29, 2022
Length: 396 pages
Edition : 1st
Language : English
ISBN-13 : 9781800566019
Category :
Tools :

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Customer reviews

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Full star icon Full star icon Full star icon Full star icon Full star icon 5
(2 Ratings)
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Chemere L Davis Sep 13, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is an approachable guide to creating machine learning models on massive data in a reliable, repeatable, and resilient way. From novice to experienced professional there is a tip or trick for everyone. No matter what role you might play on a data science team, business stakeholder, operation, data science, Machine Learning at Scale with H2O is a playbook for a more successful implementation for real-world businesses.I've used H2O in building many models and still found new ways to make my models better. I highly recommend if you want to learn how to leverage machine learning from end-to-end for enterprise systems.
Amazon Verified review Amazon
Yiqiao Yin Aug 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I really enjoyed reading this book. It's definitely a great introduction book for data scientists and machine learning engineers who want to gain some efficient fast hands-on experience. In addition, I get get to learn some new fancy tools of building and deploying state-of-the-art models with advanced techniques using H2O technology. It certainyl helps my understanding of the data science process and experience using Python programming. This book will also benefit students by helping them understand how machine learning works in real-world enterprise scenarios.✅Learn different perspective of machine learning deployment strategies at enterprise level✅Address novel techniques and deploy ML algorithms that tackle big data problems✅Use H2O Sparkling Water to navigate through different largescale datasets
Amazon Verified review Amazon
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