CE 784: Machine Learning and Data Analytics for CE Applications

Semester: 2024 - 2025 (II)

Welcome to the course homepage of CE 784: Machine Learning and Data Analytics for CE Applications for the Semester 2024-2025 (II).

Lecture Notes

1: Introduction

2: Basics of Supervised learning

3: Maximum Likelihood Estimation & Linear Regression

4: Logistic Regression

5: K Nearest Neighbor

6: Neural Networks (a) Introduction (b) Backpropagation (c) Activation Functions (d) Applications Case Study

7: Efficient Model Training Topics: (a) Regularization (b) Bias Variance (c) Gradient Descent

8: Support Vector Machines

9: (a) Convolutional Neural Networks (b) Object Detection

10: Generative Adversarial Networks (GAN)

11: Transformers (a) Introduction (b) Attention Mechanism (c) Variants of Transformer Architecture

12: Miscellaneous Topics of Deep Learning Training: (a) Evaluation Metric (b) Normalization (c) Dropout (d) Gradient Descent Optimization Algorithms

13: Unsupervised Learning