Machine Learning: The End of Business Logic?
summary
Explains where machine learning appears in software development and how its approach differs from and complements traditional business-logic programming, covering supervised, unsupervised and other learning types and their application potentials. Uses a practical example to show machine learning as an alternative to classical business logic and introduces initial tools for implementing ML, aimed at software developers with no prior ML knowledge.
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chapters (10)
- 0:00Introduction
- 2:05Classical ML example
- 12:48ML versus business logic
- 18:32UI optimization with ML
- 27:10ML without training data
- 35:00Reinforcement learning in simulations
- 40:23Airline similarity analysis
- 48:13Neural nets for pattern recognition
- 53:19Summary
- 56:29Q&A
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