Completed
Unsupervised learning
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Classroom Contents
AI, Machine Learning and Deep Learning
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- 1 Intro
- 2 What you'll learn
- 3 Artificial intelligence
- 4 Machine learning (ML)
- 5 ML vs expert system for onset detection
- 6 Expert system: Onset detection
- 7 ML onset detection: Training
- 8 ML onset detection: Inference
- 9 ML paradigms
- 10 Unsupervised learning
- 11 Reinforcement learning
- 12 ML algorithms
- 13 Neural network (NN)
- 14 Deep learning
- 15 Traditional ML vs DL: Feature engineering
- 16 Traditional ML vs DL: End-to-end
- 17 When should you use DL?
- 18 DL applications in audio
- 19 Takeaway points
- 20 What's up next?
