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.

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