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Hannes Hapke (76 results)
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
Language: English
Published by Manning Publications, 2019
ISBN 10: 1617294632 ISBN 13: 9781617294631
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
Language: English
Published by Manning Publications, 2019
ISBN 10: 1617294632 ISBN 13: 9781617294631
Paperback. Condition: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
Language: English
Published by Manning Publications, 2019
ISBN 10: 1617294632 ISBN 13: 9781617294631
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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paperback. Condition: Good condition. good condition,fast ship.
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paperback. Condition: Good.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Paperback. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy.
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Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow (Paperback or Softback)
Language: English
Published by O'Reilly Media 8/4/2020, 2020
ISBN 10: 1492053198 ISBN 13: 9781492053194
Paperback or Softback. Condition: New. Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow. Book.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condition: New. Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You'll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems.Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects.Understand the steps to build a machine learning pipelineBuild your pipeline using components from TensorFlow ExtendedOrchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow PipelinesWork with data using TensorFlow Data Validation and TensorFlow TransformAnalyze a model in detail using TensorFlow Model AnalysisExamine fairness and bias in your model performanceDeploy models with TensorFlow Serving or TensorFlow Lite for mobile devicesLearn privacy-preserving machine learning techniques.
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Condition: As New. Unread book in perfect condition.
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Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines
Published by O'Reilly Media
paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
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Building Machine Learning Pipelines
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Paperback. Condition: New. Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting-especially for recent ML graduates and those moving from research to a commercial environment. Whether you currently work to create products and services that use ML, or would like to in the future, this practical book gives you a broad view of the entire field.Authors Robert Crowe, Hannes Hapke, Emily Caveness, and Di Zhu help you identify topics that you can dive into deeper, along with reference materials and tutorials that teach you the details. You'll learn the state of the art of machine learning engineering, including a wide range of topics such as modeling, deployment, and MLOps. You'll learn the basics and advanced aspects to understand the production ML lifecycle.This book provides four in-depth sections that cover all aspects of machine learning engineering:Data: collecting, labeling, validating, automation, and data preprocessing; data feature engineering and selection; data journey and storageModeling: high performance modeling; model resource management techniques; model analysis and interoperability; neural architecture searchDeployment: model serving patterns and infrastructure for ML models and LLMs; management and delivery; monitoring and loggingProductionalizing: ML pipelines; classifying unstructured texts and images; genAI model pipelines.
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Paperback. Condition: New. Generative AI enables powerful new capabilities, but they come with some serious limitations that you'll have to tackle to ship a reliable application or agent. Luckily, experts in the field have compiled a library of 32 tried-and-true design patterns to address the challenges you're likely to encounter when building applications using LLMs, such as hallucinations, nondeterministic responses, and knowledge cutoffs.This book codifies research and real-world experience into advice you can incorporate into your projects. Each pattern describes a problem, shows a proven way to solve it with a fully coded example, and discusses trade-offs.Design around the limitations of LLMsEnsure that generated content follows a specific style, tone, or formatMaximize creativity while balancing different types of riskBuild agents that plan, self-correct, take action, and collaborate with other agentsCompose patterns into agentic applications for a variety of use cases.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: NEW.
