Course Timeline
Week 1
- Apr 02
- Lec 1: Introduction
- slides | scribe-notes
- Apr 04
- Lec 2: Linear Algebra (I)
- slides | scribe-notes
Week 2
- Apr 09
- Lec 3: Linear Algebra (II)
- slides | scribe-notes
- Apr 11
- Lec 4: Linear Algebra (III)
- slides | scribe-notes
Week 3
- Apr 16
- Lec 5: Linear Algebra (IV)
- slides | scribe-notes
- Apr 18
- Lec 6: PCA(I)
- slides | scribe-notes
Week 4
- Apr 16
- Lec 7: PCA (II)
- slides | scribe-notes
- Apr 18
- Lec 8: PCA (III)
- slides | scribe-notes
Week 5
- Apr 30
- Lec 9: Spectral Embedding (I)
- slides | scribe-notes
- May 02
- Lec 10: Spectral Embedding (II)
- slides | scribe-notes
Week 6
- May 7
- Lec 11: Supervised Learning (I)
- slides | scribe-notes
- May 9
- Lec 12: Supervised Learning (II)
- slides | scribe-notes
Week 7
- May 14
- Midterm
- May 16
- Lec 13: Supervised Learning (III)
- slides | scribe-notes
Week 8
- May 21
- Lec 14: Supervised Learning (IV)
- slides | scribe-notes
- May 23
- Lec 15: Supervised Learning (V)
- slides | scribe-notes
Week 9
- May 28
- Lec 16: Supervised Learning (VI)
- slides | scribe-notes
- May 30
- Lec 17: Supervised Learning (VII)
- slides | scribe-notes
Week 10
- Jun 04
- Lec 18: Modern Deep Learning (I)
- slides | scribe-notes
- Jun 06
- Lec 19: Modern Deep Learning (II)
- slides | scribe-notes