Hands-on artificial intelligence on Amazon Web Services :: decrease the time to market for AI and ML applications with the power of AWS /
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.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Birmingham :
Packt Publishing, Limited,
2019
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| 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. |
| Physical Description: | 1 online resource (vi, 412 pages) : black and white illustrations |
| ISBN: | 9781789534146 1789534143 9781789531473 1789531470 |
Staff View
MARC
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| 505 | 0 | |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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| 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. |
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| spelling | Tripuraneni, Subhashini, author Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song Birmingham : Packt Publishing, Limited, 2019 1 online resource (vi, 412 pages) : black and white illustrations text txt rdacontent unmediated n rdamedia volume nc rdacarrier 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. 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. Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast Electronic book. Song, Charles, author has work: Hands-On Artificial Intelligence on Amazon Web Services (Work) https://id.oclc.org/worldcat/entity/E39PD3PHrfqRhjY4wqp7hMkJQm https://id.oclc.org/worldcat/ontology/hasWork 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 |
| spellingShingle | Tripuraneni, Subhashini Song, Charles Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / 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. Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast |
| subject_GND | http://id.loc.gov/authorities/names/no2015140713 http://id.loc.gov/authorities/subjects/sh85079324 |
| title | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_auth | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_exact_search | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / |
| title_full | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_fullStr | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_full_unstemmed | Hands-on artificial intelligence on Amazon Web Services : decrease the time to market for AI and ML applications with the power of AWS / Subhashini Tripuraneni ; Charles Song |
| title_short | Hands-on artificial intelligence on Amazon Web Services : |
| title_sort | hands on artificial intelligence on amazon web services decrease the time to market for ai and ml applications with the power of aws |
| title_sub | decrease the time to market for AI and ML applications with the power of AWS / |
| topic | Amazon Web Services (Firm) http://id.loc.gov/authorities/names/no2015140713 Amazon Web Services (Firm) fast Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Distributed systems. bicssc Mathematical theory of computation. bicssc Machine learning. bicssc Artificial intelligence. bicssc Computers Machine Theory. bisacsh Computers Systems Architecture Distributed Systems & Computing. bisacsh Computers Intelligence (AI) & Semantics. bisacsh Machine learning fast |
| topic_facet | Amazon Web Services (Firm) Machine learning. Apprentissage automatique. Distributed systems. Mathematical theory of computation. Artificial intelligence. Computers Machine Theory. Computers Systems Architecture Distributed Systems & Computing. Computers Intelligence (AI) & Semantics. Machine learning Electronic book. |
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