Course Schedule
Introduction
Clustering
- Sep 15
- Distance & Similarity - worksheet
- Sep 17
- K-means - worksheet
- Sep 22
- K-means++ - worksheet
- PROPOSAL
- Sep 24
- Hierarchical Clustering + Density Based Clustering - worksheet
- Sep 29
- Density Based Clustering - worksheet
- Oct 1
- Soft Clustering + Clustering Aggregation - worksheet
Singular Value Decomposition
- Oct 6
- Singular Value Decomposition - worksheet
- Oct 8
- SVD cont’d - worksheet
Classification
- Oct 13
- NO CLASS
- Oct 14
- MIDTERM 1
- MONDAY SCHEDULE
- Oct 15
- Post Midterm Interlude: The Development of Language Models
- Oct 20
- Intro to Classification - worksheet
- Oct 22
- Decision Trees - worksheet
- Oct 27
- Naive Bayes + Model Evaluation - worksheet
- MIDTERM REPORT
- Oct 29
- Recommender Systems + MIDTERM 2 LAUNCH
- Nov 3
- MIDTERM REVIEW + Support Vector Machines (linear/non linear) - worksheet
Regression
- Nov 5
- Linear Regression - worksheet
- Nov 10
- Linear Model Evaluation - worksheet
- Nov 12
- Linear Model Evaluation Cont’d - worksheet
- Nov 17
- Logistic Regression
- Nov 19
- Logistic Regression Cont’d
- Nov 26 - Nov 30
- THANKSGIVING RECESS
- Dec 1
- Neural Networks Fundamentals
- Dec 3
- Neural Networks Advanced
Final Projects and Review
- Dec 8
- Final Exam
- Dec 10
- End of semester AMA
- FINAL REPORT