ELEC 2600
4 notes- Part 1: Basic Probability
- Part 2: Single Random Variables
- Part 3: Multiple Random Variables
- Part 4: Stochastic Process
Course Notes
Notes
Some of my handwritten notes :)
COMP 3211
9 notesCOMP 3711
14 notes- Asymptotic Notation / Intro to Algorithm
- Divide and Conquer / Binary Search / Merge Sort
- Inversion Counting / Max Subarray
- Multiplication / Master Theorem
- Randomized Algorithm
- Quick Sort / Random Selection
- Heap Sort
- Sorting in Linear Time
- Greedy Algorithm
- Huffman Encoding
- Dynamic Programming
- Graph Intro / BFS / DFS / Topological Sort
- Minimum Spanning Tree
- Shortest Path
COMP 4211
14 notes- Linear Regression
- Logistic Regression
- Other Approaches to Classification
- Bias-Variance Decomposition
- Feed-Forward Neural Network
- Fundamental Issues in Deep Learning
- Convolutional Neural Network
- Recurrent Neural Network
- Transformer Models
- Vision Transformer / CLIP
- Variational Autoencoders
- Generative Adversarial Networks
- Support Vector Machines
- Decision Trees and Random Forests