Applying Machine Learning in the Mobile World: Experiences and Use Cases
summary
This covers Banco PAN’s practical experience building and deploying mobile machine learning models using Core ML, TensorFlow Lite, and Firebase ML Kit, plus discussion of emerging trends. It focuses on concrete use cases and implementation lessons from mobile app and service development in a banking context.
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chapters (9)
- 0:00Introduction
- 1:04Machine learning concepts
- 4:59Reinforcement learning
- 7:10Deep learning and neural networks
- 8:35Use cases at Banco Pan
- 13:31Development tools
- 21:58Demo: Training model with Core ML
- 29:16Practical applications and challenges
- 33:11Q&A
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