├── 0 - Index.md ├── 1 - Hypothesis space.md ├── 12 - Linear regression.md ├── 12.1 - Generalized linear regression.md ├── 13 - Logistic regression.md ├── 14 - Softmax regression.md ├── 15 - Maximum aposteriori estimate.md ├── 16 - Non parametric density estimation.md ├── 17 - Parzen window estimate.md ├── 18 - K Nearest neighbour.md ├── 19 -Bias variance tradeoff.md ├── 2 - Loss function.md ├── 20 - Regularization.md ├── 21 - Support vector machine - data linearly separable.md ├── 22 - SVM - dataset is not linearly separable.md ├── 23 - SVM with kernel.md ├── 24 - SCM as ERM.md ├── 25 - Neural network.md ├── 26 - Backpropogation.md ├── 27 - Miscellaneous terms.md ├── 28 - Descion trees.md ├── 29 - Ensemble learning.md ├── 3 - Risk function.md ├── 30 - Bagging and random forest.md ├── 31 - Boosting.md ├── 32 - XG Boost.md ├── 33- Adaboost.md ├── 34 - Unsupervised learning.md ├── 34.1 - Soft clustering.md ├── 35 - K means clustering.md ├── 36 - PCA.md ├── 4 - Learning problem.md ├── 5 - Bayes classifier.md ├── 6 - KL Divergence - Kullback-Leibler Divergence.md ├── 7 - Likelyhood.md ├── 8 - EM algorithm.md ├── 9 - Linear discriminant analysis.md ├── Machine learning.pdf.pdf ├── README.md ├── Read me.md └── Readme for Github.md /0 - Index.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/0 - Index.md -------------------------------------------------------------------------------- /1 - Hypothesis space.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/1 - Hypothesis space.md -------------------------------------------------------------------------------- /12 - Linear regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/12 - Linear regression.md -------------------------------------------------------------------------------- /12.1 - Generalized linear regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/12.1 - Generalized linear regression.md -------------------------------------------------------------------------------- /13 - Logistic regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/13 - Logistic regression.md -------------------------------------------------------------------------------- /14 - Softmax regression.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/14 - Softmax regression.md -------------------------------------------------------------------------------- /15 - Maximum aposteriori estimate.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/15 - Maximum aposteriori estimate.md -------------------------------------------------------------------------------- /16 - Non parametric density estimation.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/16 - Non parametric density estimation.md -------------------------------------------------------------------------------- /17 - Parzen window estimate.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/17 - Parzen window estimate.md -------------------------------------------------------------------------------- /18 - K Nearest neighbour.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/18 - K Nearest neighbour.md -------------------------------------------------------------------------------- /19 -Bias variance tradeoff.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/19 -Bias variance tradeoff.md -------------------------------------------------------------------------------- /2 - Loss function.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/2 - Loss function.md -------------------------------------------------------------------------------- /20 - Regularization.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/20 - Regularization.md -------------------------------------------------------------------------------- /21 - Support vector machine - data linearly separable.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/21 - Support vector machine - data linearly separable.md -------------------------------------------------------------------------------- /22 - SVM - dataset is not linearly separable.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/22 - SVM - dataset is not linearly separable.md -------------------------------------------------------------------------------- /23 - SVM with kernel.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/23 - SVM with kernel.md -------------------------------------------------------------------------------- /24 - SCM as ERM.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/24 - SCM as ERM.md -------------------------------------------------------------------------------- /25 - Neural network.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/25 - Neural network.md -------------------------------------------------------------------------------- /26 - Backpropogation.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/26 - Backpropogation.md -------------------------------------------------------------------------------- /27 - Miscellaneous terms.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/27 - Miscellaneous terms.md -------------------------------------------------------------------------------- /28 - Descion trees.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/28 - Descion trees.md -------------------------------------------------------------------------------- /29 - Ensemble learning.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/29 - Ensemble learning.md -------------------------------------------------------------------------------- /3 - Risk function.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/3 - Risk function.md -------------------------------------------------------------------------------- /30 - Bagging and random forest.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/30 - Bagging and random forest.md -------------------------------------------------------------------------------- /31 - Boosting.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/31 - Boosting.md -------------------------------------------------------------------------------- /32 - XG Boost.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/32 - XG Boost.md -------------------------------------------------------------------------------- /33- Adaboost.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/33- Adaboost.md -------------------------------------------------------------------------------- /34 - Unsupervised learning.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/34 - Unsupervised learning.md -------------------------------------------------------------------------------- /34.1 - Soft clustering.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/34.1 - Soft clustering.md -------------------------------------------------------------------------------- /35 - K means clustering.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/35 - K means clustering.md -------------------------------------------------------------------------------- /36 - PCA.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/36 - PCA.md -------------------------------------------------------------------------------- /4 - Learning problem.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/4 - Learning problem.md -------------------------------------------------------------------------------- /5 - Bayes classifier.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/5 - Bayes classifier.md -------------------------------------------------------------------------------- /6 - KL Divergence - Kullback-Leibler Divergence.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/6 - KL Divergence - Kullback-Leibler Divergence.md -------------------------------------------------------------------------------- /7 - Likelyhood.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/7 - Likelyhood.md -------------------------------------------------------------------------------- /8 - EM algorithm.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/8 - EM algorithm.md -------------------------------------------------------------------------------- /9 - Linear discriminant analysis.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/9 - Linear discriminant analysis.md -------------------------------------------------------------------------------- /Machine learning.pdf.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/Machine learning.pdf.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/README.md -------------------------------------------------------------------------------- /Read me.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/victor-explore/Machine-Learning-Notes-IISC-Banglore/HEAD/Read me.md -------------------------------------------------------------------------------- /Readme for Github.md: -------------------------------------------------------------------------------- 1 | --------------------------------------------------------------------------------