Tripuraneni / Song Hands-On Artificial Intelligence on Amazon Web Services

Decrease the time to market for AI and ML applications with the power of AWS
1. Auflage 2019
ISBN: 978-1-78953-147-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 426 Seiten

No detailed description available for "Hands-On Artificial Intelligence on Amazon Web Services".

Autoren/Hrsg.

Tripuraneni, Subhashini

Song, Charles

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Verteilte Systeme (Netzwerke)
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Introduction to Artificial Intelligence on AWS
- Anatomy of an Modern AI Application
- Detecting and Translating Text with AWS Rekognition and AWS Translate
- Performing speech-to-text and Vice-versa with AWS Transcribe and AWS Polly
- Extracting Information from Text with AWS Comprehend
- Building a Voice Chatbot with AWS Lex
- Working with Amazon SageMaker
- Creating Machine Learning Inference Pipelines with Amazon SageMaker
- Discovering Topics in Text Collections using Amazon SageMaker
- Classifying Images using Amazon SageMaker
- Sales Forecasting with Deep Learning and Auto Regression
- Model Accuracy Degradation and Feedback Loop
- What's Next

Über Autor(innen)

Tripuraneni Subhashini:

Subhashini Tripuraneni has several years of experience leading AI initiatives in financial services and convenience retail. She has automated multiple business processes and helped to create a proactive competitive advantage for businesses via AI. She is also a seasoned data scientist, with hands-on experience building machine learning and deep learning models in a public cloud. She holds an MBA from Wharton Business School, with a specialization in business analytics, marketing and operations, and entrepreneurial management. In her spare time, she enjoys going to theme parks and spending time with her children. She currently lives in Dallas, TX, with her husband and children.Song Charles:

Charles Song is a solutions architect with a background in applied software engineering research. He is skilled in software development, architecture design, and machine learning, with a proven ability to utilize emerging technologies to devise innovative solutions. He has applied machine learning to many research and industry projects, and published peer-reviewed papers on the subject. He holds a PhD in computer science from the University of Maryland. He has taught several software engineering courses at the University of Maryland for close to a decade. In his spare time, he likes to relax in front of his planted aquariums, but also enjoys martial arts, cycling, and snowboarding. He currently resides in Bethesda, MD, with his wife.