
People can sign up for the beginning class (Machine Learning 101) here:
www.meetup.com/HackerDojo-Cloud-Computing/calendar/15431990/
and they can sign up for the intermediate class (Machine Learning 201) here:
www.meetup.com/HackerDojo-Cloud-Computing/calendar/15493171/
Future Machine Learning Classes
Machine Learning 101: Learn about ML algorithms and implement them in R
Machine Learning 102: Enable you to read and implement algorithms from current papers
Machine Learning 201: Advanced Regression Techniques, Generalized Linear Models, and Generalized Additive Models
Machine Learning 202: Collaborative Filtering, Bayesian Belief Networks, and Advanced Trees
Syllabus:
Machine Learning 101 1/22/2011 - 2/26/2011 Class Web Page
Week 1: Introduction to R, R memory model, R plots, Sampling, Distributions
Week 2: Supervised Classification and Prediction, Bias Variance Tradeoff
Week 3: Simple Regression, Regularization, Ridge Regression
Week 4: k Nearest Neighbors, Bayes Classifiers
Week 5: Support Vector Machines
Machine Learning 102 3/5/2011 - 4/9/2011 Class Web Page
Week 1: Ensemble Methods book
Week 2: Cluster Analysis Unsupervised Learning, Agglomerative Clustering
Week 3: Discriminate Analysis, Expectation-Maximization Algorithms
Week 4: Anomaly Detection
Week 5: Students read papers in groups, group presentations summarizing papers with demo (working code if possible)
Machine Learning 201 1/12/2011 - 2/10/2011 Class Web Site
Week 1: Advanced Regression, L1 Regularized Regression
Week 2: Logistic Regression
Week 3: Subset Selections, Factors
Week 4: Generalized Linear Model
Week 5: Generalized Additive Model
Machine Learning 202 2/16/2011 - 3/10/2011 Class Web Site
Week 1: Collaborative Filtering, Recommendation Engines
Week 2: Bayesian Belief Networks, EM & Factor Analysis
Week 3: Advanced Trees
Week 4: Gradient Boosting
Week 5: Learning Theory, Debugging Methods