Publicado por Packt Publishing (edition ), 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 4,88
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Añadir al carritoPaperback. Condición: Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Librería: Goodwill of Colorado, COLORADO SPRINGS, CO, Estados Unidos de America
EUR 6,19
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Añadir al carritoCondición: Acceptable. This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting/ writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and/or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you!
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 6,39
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.84.
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
EUR 6,39
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.84.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 4,56
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Añadir al carritopaperback. Condición: 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!
Librería: Seattle Goodwill, Seattle, WA, Estados Unidos de America
EUR 4,47
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Añadir al carritopaperback. Condición: Good. May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwill's nonprofit mission!
Librería: MusicMagpie, Stockport, Reino Unido
EUR 10,49
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Añadir al carritoCondición: Very Good. 1742556313. 3/21/2025 11:25:13 AM.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 32,40
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Añadir al carritopaperback. Condición: 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!
Librería: medimops, Berlin, Alemania
EUR 30,39
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Librería: Grumpys Fine Books, Tijeras, NM, Estados Unidos de America
EUR 44,58
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Añadir al carritoPaperback. Condición: new. Prompt service guaranteed.
Publicado por Packt Publishing 8/27/2020, 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 48,59
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Añadir al carritoPaperback or Softback. Condición: New. Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists 1.84. Book.
Publicado por Packt Publishing 11/26/2021, 2021
ISBN 10: 1801817952 ISBN 13: 9781801817950
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 48,96
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Añadir al carritoPaperback or Softback. Condición: New. Learn Amazon SageMaker - Second Edition: A guide to building, training, and deploying machine learning models for developers and data scientists 2.07. Book.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 49,21
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 49,21
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Librería: Russell Books, Victoria, BC, Canada
EUR 53,58
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Añadir al carritopaperback. Condición: New. 2nd ed. Special order direct from the distributor.
Librería: Russell Books, Victoria, BC, Canada
EUR 53,58
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Publicado por Packt Publishing 2020-08, 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 44,96
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Publicado por Packt Publishing 2021-11, 2021
ISBN 10: 1801817952 ISBN 13: 9781801817950
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 44,96
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 50,16
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 50,16
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Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 84,70
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Añadir al carritoPaperback. Condición: New. New. book.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 55,57
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 50,88
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2021
ISBN 10: 1801817952 ISBN 13: 9781801817950
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 55,36
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
Publicado por Packt Publishing Limited, 2020
ISBN 10: 180020891X ISBN 13: 9781800208919
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 55,36
Convertir monedaCantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,83
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker's capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model MonitorKey FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerAnalyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniquesImprove productivity by training and fine-tuning machine learning models in productionBook DescriptionAmazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker.You'll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you'll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You'll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you'll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy.By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.What you will learnCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Become well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and NLP models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for¿This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,83
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Swiftly build and deploy machine learning models without managing infrastructure and boost productivity using the latest Amazon SageMaker capabilities such as Studio, Autopilot, Data Wrangler, Pipelines, and Feature StoreKey Features:Build, train, and deploy machine learning models quickly using Amazon SageMakerOptimize the accuracy, cost, and fairness of your modelsCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Book Description:Amazon SageMaker enables you to quickly build, train, and deploy machine learning models at scale without managing any infrastructure. It helps you focus on the machine learning problem at hand and deploy high-quality models by eliminating the heavy lifting typically involved in each step of the ML process. This second edition will help data scientists and ML developers to explore new features such as SageMaker Data Wrangler, Pipelines, Clarify, Feature Store, and much more.You'll start by learning how to use various capabilities of SageMaker as a single toolset to solve ML challenges and progress to cover features such as AutoML, built-in algorithms and frameworks, and writing your own code and algorithms to build ML models. The book will then show you how to integrate Amazon SageMaker with popular deep learning libraries, such as TensorFlow and PyTorch, to extend the capabilities of existing models. You'll also see how automating your workflows can help you get to production faster with minimum effort and at a lower cost. Finally, you'll explore SageMaker Debugger and SageMaker Model Monitor to detect quality issues in training and production.By the end of this Amazon book, you'll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation.What You Will Learn:Become well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and natural language processing (NLP) models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for:This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.