CS-301

Syllabus
Topics
- Introduction to Data Science
- Probabilistic Learning
- The Learning Problem
- Classification
- Trees and Intelligence of the Crowds
- Decision Trees
- Ensemble Methods
  - Random Forests
  - Boosting
    - Boosting workshop
- Non-Parametric Methods
  - K-means Clustering
  - kNN Density Estimation
    - kNN Workshop
- Neural Networks
- Fashion MNIST Case Study
- Introduction to CNNs
- CNN Layers
- CNN Example Architectures
- CNN Classification Workshop
- Dimensionality Reduction
Background in Python and Linear Algebra
- CS100 Python Resources (in Canvas)
- Linear Algebra
Resources
- Programming Environment
- Learn Python
Assignments / Projects

NJIT CS 301 - Introduction to Data Science