| ★ | Neural Collaborative Filtering for Feature-Aware Recommendations (Intro) | DigitalSreeni @digitalsreeni | 782 | Estados Unidos | |
| 13 | Building a Real-Time AI Recommendation Engine with ONE Database | MongoDB | | 6.1K | Estados Unidos | 87 |
| 18 | Oscillator associative memories for high-capacity, compositional inference | Simons Institute for the Theory of Computing @simonsinstitute | 4.9K | Estados Unidos | 87 |
| 2 | Alternating Least Squares (ALS) - Building Your First Production-Ready Recommender System | DigitalSreeni @digitalsreeni | 2.9K | Estados Unidos | 93 |
| 5 | Recommendation Systems - A Deep Dive into Collaborative Filtering | DigitalSreeni @digitalsreeni | 1.9K | Estados Unidos | 89 |
| 3 | Normalized Discounted Cumulative Gain (NDCG) | DigitalSreeni @digitalsreeni | 1.1K | Estados Unidos | 90 |
| 1 | Neural Collaborative Filtering Code Walkthrough - Recommender System | DigitalSreeni @digitalsreeni | 786 | Estados Unidos | 94 |
| 17 | 356 Building a Learning Path Recommender - Manual Construction of Knowledge Graphs in Python | DigitalSreeni @digitalsreeni | 643 | Estados Unidos | 87 |
| 4 | Diversity & Fairness in Recommender Systems - Part 1 | DigitalSreeni @digitalsreeni | 501 | Estados Unidos | 89 |
| 15 | Lecture 4.1 | Artificial neural network | Perceptron, Gradient Descent, Delta rule | #mlt #aktu #ml | Tech Master Edu @techmasteredu | 319 | India | 87 |
| 6 | Deep Image Retrieval: Learning global representations for image search | Xavi Giró-i-Nieto @xavigiro-i-nieto | 104 | — | 88 |
| 16 | Machine Learning Techniques for Agents (10 Minutes) | Technology Whisper @technologywhisper | 102 | Singapur | 87 |
| 19 | CRoP: Context-wise Robust Static Human-Sensing Personalization | | 58 | Estados Unidos | 86 |
| 20 | Why am I seeing this: Democratizing End User Auditing for Online Content Recommendations | | 43 | Estados Unidos | 86 |
| 12 | Cross-Entropy Loss Explained: The Complete Guide for Machine Learning | THE FACT FACTORY @thefactfactoryf | 37 | — | 87 |
| 11 | Multimodal Transformers Explained: Unifying All Data Types | THE FACT FACTORY @thefactfactoryf | 14 | — | 87 |
| 10 | Why Weight Decay IS L2 Regularization: Complete Guide Explained | THE FACT FACTORY @thefactfactoryf | 5 | — | 88 |
| 9 | Build a Product Recommendation System & Credit Risk Prediction Social Media and Sentiment Analysis | Biomedical @biomedicaltamil | 3 | India | 88 |
| 8 | AI and the Future of Shopping: Personalized Experiences at Scale | | 2 | — | 88 |
| 14 | Let’s Help Machines Learn Faster | Beginner’s Guide to Machine Learning Basics | Biomedical @biomedicaltamil | 2 | India | 87 |
| 7 | How Recommendation Systems Use Machine Learning to Know You Better | 머니렙아크 MoneyRepArc @머니렙아크moneyreparc | 0 | Corea del Sur | 88 |