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|a Tripuraneni, Subhashini,
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|a Hands-on artificial intelligence on Amazon Web Services :
|b decrease the time to market for AI and ML applications with the power of AWS /
|c Subhashini Tripuraneni ; Charles Song
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264 |
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|a Birmingham :
|b Packt Publishing, Limited,
|c 2019
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|a 1 online resource (vi, 412 pages) :
|b black and white illustrations
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|a 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.
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505 |
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|a 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.
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|i Print version:
|a Tripuraneni, Subhashini.
|t Hands-On Artificial Intelligence on Amazon Web Services : Decrease the Time to Market for AI and ML Applications with the Power of AWS.
|d Birmingham : Packt Publishing, Limited, ©2019
|z 9781789534146
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