Profundizando en Aprendizaje Automático para Desarrolladores
summary
Demonstrates end-to-end use of Amazon AI: document extraction with Amazon Textract, model building in Amazon SageMaker Autopilot (it tests ~250 model configurations), and deployment as an API that feeds a legacy UI and Alexa skill delivering near real‑time results. Fraud classifier reaches ~95% accuracy on the demo dataset and is exposed as an endpoint. Image classifier trains on about 200k vs 8k images for breast cancer detection, is deployed as a SageMaker endpoint, and runs live inference in the demo.
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chapters (10)
- 0:00Machine learning intro
- 6:15Babylon Health case study
- 11:13ML solutions development
- 16:13Medical data extraction demo
- 20:11SageMaker model building
- 32:01Medical image classification
- 38:16Legacy system integration
- 40:28Alexa voice interaction
- 42:16Education use case
- 49:42Summary and resources
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