About These Podcasts
These audio summaries were generated using Google NotebookLM, providing an alternative way to review lecture content.
Each lecture is divided into multiple parts for easier listening. Click on any part to listen via Google Drive.
Computer Structure, Networks, and ML
From Set Theory to Linear Regression
From Linear to Logistic Regression
From Logistic Regression to Multi-layer Perceptrons
Supervised Learning Evaluation
Data Modality and Feature Extraction
Loss, Optimization, and Scheduling
Initialization and Normalization
Pre-trained Language Models and LLM Era
Generative Models - Diffusion
Clustering and Unsupervised Learning
Advanced Unsupervised Learning
Model Explainability - XAI Fundamentals
Model Explainability - SHAP and Deep Learning XAI
About NotebookLM Podcasts
These AI-generated audio summaries provide an engaging way to review lecture content.
Parts marked in red (TBA) are coming soon.