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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.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing, Limited,
2019
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 003 | OCoLC | ||
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| 008 | 200202s2019 enka o 000 0 eng d | ||
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| 049 | |a UAMI | ||
| 100 | 1 | |a Tripuraneni, Subhashini, |e author | |
| 245 | 1 | 0 | |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 |
| 264 | 1 | |a Birmingham : |b Packt Publishing, Limited, |c 2019 | |
| 300 | |a 1 online resource (vi, 412 pages) : |b black and white illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 520 | |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. | ||
| 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. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 610 | 2 | 0 | |a Amazon Web Services (Firm) |
| 610 | 2 | 7 | |a Amazon Web Services (Firm) |2 fast |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Distributed systems. |2 bicssc | |
| 650 | 7 | |a Mathematical theory of computation. |2 bicssc | |
| 650 | 7 | |a Machine learning. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computers |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a Computers |x Systems Architecture |x Distributed Systems & Computing. |2 bisacsh | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 700 | 1 | |a Song, Charles, |e author | |
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| 776 | 0 | 8 | |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 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5928313 |z Texto completo |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781789534146/?ar |z Texto completo |
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