Description |
1 online resource (vi, 412 pages) : black and white illustrations |
Summary |
AI in AWS covers primarily two broad topics - a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition. |
Contents |
Section 1: Introduction and anatomy of a modern AI -- Chapter 1: Introduction to artificial intelligence on Amazon Web Services -- Chapter 2: Anatomy of a modern AI application -- Section 2: Building applications with AWS AI -- Chapter 3: Detecting and translating text with Amazon Rekognition -- Chapter 4: Performing speech-to-text and vice versa with Amazon transcribe and Polly -- Chapter 5: Extracting information from text with Amazon comprehend -- Chapter 6: Building a voice chatbot with Amazon Lex -- Section 3: Training machine learning models with Amazon SageMaker -- Chapter 7: Working with Amazon Sagemaker -- Chapter 8 : Creating machine learning inference pipelines -- Chapter 9 : Discovering topics in text collection -- Chapter 10: Classifying images using Amazon Sagemaker -- Chapter 11: Sales forecasting with Deep Learning and Auto Regression -- Section 4: Machine learning model monitoring and governance -- Chapter 12: Model accuracy degradation and feedback loops. |
Subject |
Amazon Web Services (Firm)
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Amazon Web Services (Firm) |
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Machine learning.
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Apprentissage automatique. |
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Distributed systems. |
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Mathematical theory of computation. |
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Machine learning. |
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Artificial intelligence. |
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Machine learning |
Added Author |
Song, Charles, author
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Other Form: |
Print version: Tripuraneni, Subhashini. Hands-On Artificial Intelligence on Amazon Web Services : Decrease the Time to Market for AI and ML Applications with the Power of AWS. Birmingham : Packt Publishing, Limited, ©2019 9781789534146 |
ISBN |
9781789534146 (paperback) |
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1789534143 (paperback) |
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9781789531473 (electronic bk.) |
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1789531470 (electronic bk.) |
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