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Mastering Machine Learning on AWS
Advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
Taschenbuch von Saket S. R. Mengle
Sprache: Englisch

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Beschreibung
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.

Key Features

Build machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark, and TensorFlow

Learn model optimization and understand how to scale your models using simple and secure APIs

Develop, train, tune, and deploy neural network models to accelerate model performance in the cloud

Book Description

AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.

As you go through the chapters, you'll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis.

By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

What you will learn

Manage AI workflows by using AWS cloud to deploy services that feed smart data products

Use SageMaker services to create recommendation models

Scale model training and deployment using Apache Spark on EMR

Understand how to cluster big data through EMR and seamlessly integrate it with SageMaker

Build deep learning models on AWS using TensorFlow and deploy them as services

Enhance your apps by combining Apache Spark and Amazon SageMaker
Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow.

Key Features

Build machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark, and TensorFlow

Learn model optimization and understand how to scale your models using simple and secure APIs

Develop, train, tune, and deploy neural network models to accelerate model performance in the cloud

Book Description

AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.

As you go through the chapters, you'll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis.

By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

What you will learn

Manage AI workflows by using AWS cloud to deploy services that feed smart data products

Use SageMaker services to create recommendation models

Scale model training and deployment using Apache Spark on EMR

Understand how to cluster big data through EMR and seamlessly integrate it with SageMaker

Build deep learning models on AWS using TensorFlow and deploy them as services

Enhance your apps by combining Apache Spark and Amazon SageMaker
Über den Autor
Dr. Saket S.R. Mengle holds a PhD in text mining from Illinois Institute of Technology, Chicago. He has worked in a variety of fields, including text classification, information retrieval, large-scale machine learning, and linear optimization. He currently works as senior principal data scientist at dataxu, where he is responsible for developing and maintaining the algorithms that drive dataxu's real-time advertising platform.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 306
ISBN-13: 9781789349795
ISBN-10: 1789349796
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Mengle, Saket S. R.
Hersteller: Packt Publishing
Maße: 235 x 191 x 17 mm
Von/Mit: Saket S. R. Mengle
Erscheinungsdatum: 17.05.2019
Gewicht: 0,575 kg
preigu-id: 116764027
Über den Autor
Dr. Saket S.R. Mengle holds a PhD in text mining from Illinois Institute of Technology, Chicago. He has worked in a variety of fields, including text classification, information retrieval, large-scale machine learning, and linear optimization. He currently works as senior principal data scientist at dataxu, where he is responsible for developing and maintaining the algorithms that drive dataxu's real-time advertising platform.
Details
Erscheinungsjahr: 2019
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 306
ISBN-13: 9781789349795
ISBN-10: 1789349796
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Mengle, Saket S. R.
Hersteller: Packt Publishing
Maße: 235 x 191 x 17 mm
Von/Mit: Saket S. R. Mengle
Erscheinungsdatum: 17.05.2019
Gewicht: 0,575 kg
preigu-id: 116764027
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