The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques
InstructorLazy Programmer Inc.Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide introduces the course's in-depth approach to algorithm derivation, displaying a complex mathematical formula for calculating weights involving summations and matrix operations.
This slide introduces the topic of user retention on YouTube by displaying a classic interface screenshot of the recommended video feed.
This slide illustrates the application of recommender systems across various industries by displaying examples from e-commerce and streaming platforms like Amazon, Netflix, and Spotify.
This slide illustrates how various content feeds from platforms like LinkedIn, Google, and Reddit relate to statistical concepts, specifically showing a Bayesian probability graph.
