MLG 014 Shallow Algos 3

Try a walking desk to stay healthy while you study or work! Full notes at ocdevel.com/mlg/14 Anomaly Detection Systems Applications • : Credit card fraud detection and server activity monitoring. Concept • : Identifying outliers on a bell curve. Statistics • : Central role of the Gaussian distribution (normal distribution) in detecting anomalies. Process • : Identifying significant deviations from the mean to detect outliers. Recommender Systems Types • : Content Filtering • : Uses features of items (e.g., Pandora's Music Genome Project). Collaborative Filtering • : Based on user behavior and preferences, like "Users Also Liked" model utilized in platforms like Netflix and Amazon. • Applications in Machine Learning • : Linear regression applications in recommender systems for predicting user preferences. Markov Chains Explanation • : Series of states with probabilities dictating transitions to next states; present state is sufficient for predicting next state (Markov principle). Use Cases • : Often found in reinforcement learning and operations research. Monte Carlo Simulation • : Running simulations to determine the expected value or probable outcomes of Markov processes. Resource Andrew NG's Coursera Course - Week 9 • : Focuses on anomaly detection and recommender systems.