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Handson Artificial Intelligence On Amazon Web Services Subhashini Tripuraneni

  • SKU: BELL-48957882
Handson Artificial Intelligence On Amazon Web Services Subhashini Tripuraneni
$ 31.00 $ 45.00 (-31%)

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Handson Artificial Intelligence On Amazon Web Services Subhashini Tripuraneni instant download after payment.

Publisher: Packt Publishing Ltd
File Extension: EPUB
File size: 18.29 MB
Pages: 426
Author: Subhashini Tripuraneni, Charles Song
ISBN: 9781789531473, 1789531470
Language: English
Year: 2019

Product desciption

Handson Artificial Intelligence On Amazon Web Services Subhashini Tripuraneni by Subhashini Tripuraneni, Charles Song 9781789531473, 1789531470 instant download after payment.

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key FeaturesExplore popular machine learning and deep learning services with their underlying algorithmsDiscover readily available artificial intelligence(AI) APIs on AWS like Vision and Language ServicesDesign robust architectures to enable experimentation, extensibility, and maintainability of AI appsBook Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learnGain useful insights into different machine and deep learning modelsBuild and deploy robust deep learning systems to productionTrain machine and deep learning models…

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