Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS

Author:   Subhashini Tripuraneni ,  Charles Song
Publisher:   Packt Publishing Limited
ISBN:  

9781789534146


Pages:   426
Publication Date:   04 October 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS


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Author:   Subhashini Tripuraneni ,  Charles Song
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789534146


ISBN 10:   1789534143
Pages:   426
Publication Date:   04 October 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Introduction to Artificial Intelligence on AWS Anatomy of an Modern AI Application Detecting and Translating Text with AWS Rekognition and AWS Translate Performing speech-to-text and Vice-versa with AWS Transcribe and AWS Polly Extracting Information from Text with AWS Comprehend Building a Voice Chatbot with AWS Lex Working with Amazon SageMaker Creating Machine Learning Inference Pipelines with Amazon SageMaker Discovering Topics in Text Collections using Amazon SageMaker Classifying Images using Amazon SageMaker Sales Forecasting with Deep Learning and Auto Regression Model Accuracy Degradation and Feedback Loop What's Next

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Author Information

Subhashini Tripuraneni has several years of experience leading AI initiatives in financial services and convenience retail. She has automated multiple business processes and helped to create a proactive competitive advantage for businesses via AI. She is also a seasoned data scientist, with hands-on experience building machine learning and deep learning models in a public cloud. She holds an MBA from Wharton Business School, with a specialization in business analytics, marketing and operations, and entrepreneurial management. In her spare time, she enjoys going to theme parks and spending time with her children. She currently lives in Dallas, TX, with her husband and children. Charles Song is a solutions architect with a background in applied software engineering research. He is skilled in software development, architecture design, and machine learning, with a proven ability to utilize emerging technologies to devise innovative solutions. He has applied machine learning to many research and industry projects, and published peer-reviewed papers on the subject. He holds a PhD in computer science from the University of Maryland. He has taught several software engineering courses at the University of Maryland for close to a decade. In his spare time, he likes to relax in front of his planted aquariums, but also enjoys martial arts, cycling, and snowboarding. He currently resides in Bethesda, MD, with his wife.

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