Need tutor for:
Math background as well as the below:
Mistake-bounded Learning, Decision Trees, PAC Learning, and Cross Validation
Perceptron, Linear Regression, Gradient Descent, and Boosting
Logistic Regression, PCA, and SVD,
Maximum Likelihood Estimation and Bayesian Interference
K-means, Gaussian Mixture Models, EM, Multivariate Normal, and Graphical Models
Kernel Methods and Neural Networks