I explain things on camera.
Two full lecture series, Recommender Systems and Advanced AI, plus short takes on AI engineering. Pulled live from YouTube.
Generative Recommendations (in Practice) | CS-5034 Recommender Systems
31 views · Dec 2025
Generative Adversarial Networks (GANs) | Recommender Systems
18 views · Dec 2025
Matrix Factorization | Recommender Systems
61 views · Dec 2025
Knowledge-Based Systems Explained | Recommender Systems
178 views · Dec 2025
Naive Bayes Collaborative Filtering | Recommender Systems (Theory Explained)
182 views · Oct 2025
Content-Based Filtering Explained | TF-IDF in Recommender Systems (Theory)
44 views · Oct 2025
Item-Based Collaborative Filtering | Cosine Similarity (Adjusted) | Recommender Systems Tutorial
157 views · Oct 2025
User-Based Collaborative Filtering | Euclidean, Cosine & Pearson Similarity Explained
55 views · Oct 2025
Recommender Systems Explained | Introduction for Beginners with Real Examples
46 views · Oct 2025
ML Basics: Supervised, Unsupervised & Semi-Supervised Learning with Examples
15 views · Oct 2025
Game Theory in AI | Zero-Sum Games, Minimax & Adversarial Search Strategies
22 views · Oct 2025
Constraint Satisfaction Problems (CSP) + Particle Swarm Optimization (PSO) | AI Techniques Tutorial
33 views · Oct 2025
Informed Search & Genetic Algorithms in AI | Heuristic Search Explained
27 views · Oct 2025
Searching in AI | Uninformed Search Algorithms Explained (BFS, DFS, UCS)
128 views · Oct 2025
