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Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Practical Machine Learning With H2o : Powerful, Scalable Techniques for Deep Learning and AI
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Practical Machine Learning With H2o : Powerful, Scalable Techniques for Deep Learning and AI
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
Published by Packt Publishing 2022-07, 2022
ISBN 10: 1800566018 ISBN 13: 9781800566019
Language: English
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Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI (Paperback or Softback)
Published by O'Reilly Media 12/16/2016, 2016
ISBN 10: 149196460X ISBN 13: 9781491964606
Language: English
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Add to basketPaperback or Softback. Condition: New. Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI 1.06. Book.
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems (Paperback or Softback)
Published by Packt Publishing 7/29/2022, 2022
ISBN 10: 1800566018 ISBN 13: 9781800566019
Language: English
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Add to basketPaperback or Softback. Condition: New. Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems 1.49. Book.
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Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI
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Practical Machine Learning With H2o: Powerful, Scalable Techniques for Deep Learning and Ai
Published by Oreilly & Associates Inc, 2016
ISBN 10: 149196460X ISBN 13: 9781491964606
Language: English
Paperback. Condition: Brand New. 200 pages. 9.00x6.75x0.50 inches. In Stock.
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Add to basketKartoniert / Broschiert. Condition: New. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.Über den AutorrnrnDarren Cook has over 20 years of experience as a software developer, data analyst, and technical d.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Add to basketpaperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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H2O-based machine learning practical method: a powerful and scalable artificial intelligence and deep learning technology(Chinese Edition)
ISBN 10: 7111600517 ISBN 13: 9787111600510
£ 75.41
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Add to basketpaperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Pages: 207 Publisher: Mechanical Industry Press. H2O-based machine learning practical method: a powerful and scalable artificial intelligence and deep learning technology mainly introduces the basic concepts of H2O and application. The book has a total of 11 chapters. first introduced the installation and startup of H2O in R and Python. data import.
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Machine Learning at Scale with H2O: A practical guide to building effective machine learning models on an enterprise system
Published by Packt Publishing Limited, 2022
ISBN 10: 1800566018 ISBN 13: 9781800566019
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build predictive models using large data volumes and deploy them to production using cutting-edge techniques Key Features: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 Book 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. 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 Who this book is 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.
