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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
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.