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thejakeyboy's
repositories
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lecture01_introduction
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lecture02_linear-algebra-optimization
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lecture03_convex-functions-optimization
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lecture04_linear-regression-part1
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lecture05_linear-regression-part2
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lecture06_bayesian-lr-gaussian-processes
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lecture07_logistic-regression-perceptron
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lecture08_NaiveBayes-GDA-LDA
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lecture09_kernel-methods
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lecture10_SVM
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lecture11_svm-gaussians
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lecture12_ml_advice
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lecture13_bias-variance-and-info-theory
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lecture14_bayesian_networks
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lecture15_latent-variables-independence-clustering
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lecture16_clustering-mixtures-em
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lecture17_gmm-hmm
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lecture18_pgm-inference-applications
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lecture19_pca_ica
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lecture20_mds_nldr
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lecture21_ml_applications_to_vision
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lecture22_neural-networks-part1
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lecture23_neural-networks-part2
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lecture24_decision_trees_bagging_boosting
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lecture25_ML_and_marketing_guest_lecture
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tutorials
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.gitignore
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Lectures.md
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README.md
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