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BU CS 506

Course Schedule

Introduction

DateLectureLab
Sep 2Overview - worksheet
Sep 7LABOR DAY
Sep 9Git - worksheet

Clustering

DateLectureLab
Sep 14Intro + Distance & Similarity - worksheetLAB 1 Data Science Intro and Distance/Similarity
Sep 16K-means - worksheet
Sep 21K-means++ + Hierarchical Clustering - worksheetLAB 2 K-Means
Sep 23Density Based Clustering + Hierarchical Clustering - worksheet
Sep 28Soft Clustering - worksheetLAB 3 Density Based Clustering and Midterm Review
Sep 30Clustering Aggregation + MIDTERM REVIEW PROPOSAL

Singular Value Decomposition

DateLectureLab
Oct 5MIDTERM 1LAB 4 TBD
Oct 7SVD - worksheet
Oct 12INDIGENOUS PEOPLES' DAYLAB 5 SVD/LSA and Practice Kaggle Competition
Oct 13LSA - worksheet SUBSTITUTE MONDAY

Classification

DateLectureLab
Oct 14Intro to Classification - worksheetLAB 5 SVD/LSA and Practice Kaggle Competition
Oct 19Decision Trees + Naive Bayes - worksheetLAB 6 Classification and KNN
Oct 21Model Evaluation + Support Vector Machines (linear) - worksheet
Oct 26MIDTERM REVIEWLAB 7 TBD
Oct 28MIDTERM 2
Nov 2Support Vector Machines (non linear) + Recommender Systems - worksheetLAB 8 Recommender Systems and Linear SVMs

Regression

DateLectureLab
Nov 4Linear Regression + APPLIED MIDTERM LAUNCH - worksheetNov 9Linear Model Evaluation - worksheetLAB 9 Linear and Non-linear SVMs
Nov 11Linear Model Evaluation Cont'd - worksheet
Nov 16 Logistic RegressionLAB 10 Linear Regression and Model Evaluation
Nov 18Gradient Descent + MIDTERM REVIEW - worksheet
Nov 23MIDTERM 3NO LAB
Nov 25-29THANKSGIVING RECESS
Nov 30Logistic Regression Cont'dLAB 11 TBD
Dec 2Neural Networks Fundamentals

Final Project and Final

DateLectureLab
Dec 7Neural Networks Advanced + LLMsLAB 12 Activation Functions and Minimal Architecture
Dec 9LAST DAY OF CLASSES