Machine Learning in the Aws Cloud: Add Intelligence to Applications with Aws Sagemaker and Aws Rekognition

Name: Machine Learning in the Aws Cloud: Add Intelligence to Applications with Aws Sagemaker and Aws Rekognition
Brand: Sybex
SKU: 9781119556718
Price: 3146.0 INR
Availability: InStock

by Abhishek Mishra

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ISBN13: 9781119556718
Binding: Paperback
Subject: N/A
Publisher: Sybex
Publisher Imprint: Sybex
Publication Date: September 11, 2019
Pages: 336
Original Price: USD 50.0
Language: English
Edition: N/A
Item Weight: 840 grams
BISAC Subject(s): Machine Theory

About The Book

From the Back Cover

Harness the power of AWS Cloud machine learning services

Recent advances in storage, CPU, and GPU technology, coupled with the ease with which you can create virtual computing resources in the cloud, and the availability of Python libraries such as Pandas, Matplotlib, TensorFlow, and Scikit-learn, have made it possible to build and deploy machine learning (ML) systems at scale and get results in real-time. Machine Learning in the AWS Cloud offers an introduction to the machine learning capabilities of the Amazon Web Services ecosystem. The book is filled with illustrative examples that are designed to help with solutions to real-world regression and classification challenges. While prior experience with ML is not a requirement, some knowledge of Python and a basic knowledge of Amazon Web Services is a plus.

The author--a noted expert on the topic--includes a review of fundamental machine learning concepts and explores the various types of ML systems. He explains how they are used, and the challenges you may face when grappling with ML solutions. The book highlights the machine learning services provided by Amazon Web Services as well as providing an overview of the basics of cloud computing and AWS offerings in the cloud-based machine learning space. The author walks you through the step-by-step process for using Amazon's machine learning services to implement image recognition, build chatbots, and train and deploy custom machine learning models to the AWS cloud.

Improve your knowledge of the basics of machine learning and learn to use NumPy, Pandas, and Scikit-learn^(R)
Learn to visualize data with Matplotlib
Learn to train and deploy machine learning models with Amazon SageMaker
Learn to use Amazon Machine Learning
Learn to use Amazon Lex^(R), Amazon Comprehend, and Amazon Rekognition
Learn about the basics of AWS infrastructure and commonly used services such as Amazon S3, Amazon DynamoDB, Amazon Cognito, and AWS Lambda

ABOUT AMAZON WEB SERVICES

Amazon Web Services (AWS) is a secure cloud services platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services to help businesses scale and grow. AWS Cloud products and solutions aid business organizations in building sophisticated applications with increased flexibility, scalability, and reliability.

About The Author

ABOUT THE AUTHOR

ABHISHEK MISHRA has more than 19 years' experience across a broad range of enterprise technologies. He consults as a security and fraud solution architect with Lloyds Banking group PLC in London. He is the author of Amazon Web Services for Mobile Developers.

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