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Linear Algebra Review
Linear Algebra Review
A quick review of linear algebra topics that are useful to ML. See also Linear Algebra Review.
Calculus Review
Calculus Review
A quick review of calculus topics that are useful to ML. See also Calculus and Linear Algebra.
Probability and Statistics Review
Probability and Statistics Review
Basics of distributions, random variables, and statistics.
Resources: Bishop Chapters 1 & 2, http://www.stat.cmu.edu/~larry/=stat705/Lecture1.pdf, http://www.stat.cmu.edu/~larry/=stat705/Lecture2.pdf, http://www.stat.cmu.edu/~larry/=stat705/Lecture4.pdf
Estimation
Estimation
Basics of estimating parameters with maximum likelihood and Bayesian estimation.
Resources: Bishop Chapter 1
Naive Bayes
Naive Bayes
Basics of generative models for classification and Naive Bayes.
Resources: https://www.cs.cmu.edu/~tom/mlbook/NBayesLogReg.pdf
Neural Networks
Neural Networks
Basics of neural networks.
Resources: Bishop Chapter 5, https://arxiv.org/pdf/1506.00019.pdf, https://arxiv.org/pdf/1308.0850.pdf
comp562h_kmeans_hier_clustering.pdfNonParametric Estimation
NonParametric Estimation
Basics of nonparametric models.
Resources: Chapter 2 http://reports-archive.adm.cs.cmu.edu/anon/ml2018/CMU-ML-18-105.pdf
The Rest of ML
The Rest of ML
A whrilwind tour of other topics not yet covered with an eye on previewing future topics for study after this course.
the_rest_of_ml_S25.pptxReport abuse