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Lecture 13: Generative Models

Lecture 13: Generative Models

cs231n.stanford.edu

Supervised vs Unsupervised Learning K-means clustering This image is CC0 public domain. Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 13 - 11 May 18, 2017 Unsupervised Learning ... Examples: Clustering, dimensionality reduction, feature learning, density estimation, etc. 14 Supervised vs Unsupervised Learning Supervised Learning

  Name, Supervised, Generative, Clustering, Means clustering

POST GRADUATE PROGRAM IN ARTIFICIAL INTELLIGENCE

POST GRADUATE PROGRAM IN ARTIFICIAL INTELLIGENCE

d9jmtjs5r4cgq.cloudfront.net

Supervised learning • Linear Regression • Multiple Variable Linear Regression • Logistic Regression • Naive Bayes Classifiers • k-NN Classification • Support Vector Machines MODULE 2 Ensemble Techniques • Decision Trees • Bagging • Random Forests • Boosting MODULE 3 Unsupervised learning • K-means Clustering

  Name, Supervised, Clustering, Means clustering

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Generative, Supervised, Means Clustering, Clustering