Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS

Tripuraneni, Subhashini (author). Song, Charles, (author).

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.

Record details

ISBN: 1789531470
ISBN: 9781789531473
ISBN: 1789534143
ISBN: 9781789534146
Physical Description: 1 online resource (vi, 412 pages) : black and white illustrations
remote
Publisher: Birmingham : Packt Publishing, Limited, 2019

Content descriptions

Formatted Contents Note:

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.