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Related lectures (18)
Unsupervised Learning: Clustering
Explores unsupervised learning through clustering techniques, algorithms, applications, and challenges in various fields.
Monte Carlo Simulation: 2D Spin Systems
Covers the Monte Carlo simulation of 2D spin systems and the Ising model, including physical quantities of interest and computational challenges.
Decision Trees: Induction & Attributes
Explores decision trees, attribute selection, bias-variance tradeoff, and ensemble methods in machine learning.
Stock Return Prediction
Covers challenges and techniques for stock return prediction using supervised learning.