Data Mining

CS634/482
Syllabus

Topics
- Introduction to Data Mining
- The Learning Problem
  - Linear Regression
    - Linear Regression Notebooks
  - Maximum Likelihood
  - Entropy
  - Optimization Algorithms
    - Stochastic Gradient Descent
  - Classification
- Classical Learning Methods
- Deep Neural Networks
- Convolutional Neural Networks
- Scene Understanding
- Sequences and RNNs
- Embeddings and NLP
- Non-Parametric Methods
- K-means Clustering
- kNN Density Estimation
  - kNN Workshop
Resources
Assignments / Projects
- CS482: Visual Search Project
- CS634: Deep Forecasting

LSTM Workshop

LSTM Workshop

LSTM Workshop #

Please go through this from scratch implementation of LSTM. Note that the notation is different than in your notes and follows this well known blog post.

LSTM Workshop