Machine Learning Cheat sheet - video (For quick Reference) - All In One ML

This is a cheat sheet video which quicly covers (refresher) following topics: Machine Learning Types - Supervised, Unsupervised, Reinforcement, Self supervised, Transfer, meta learning Underfitting and Overfitting and how to avoid - Early stopping, Cross Validation, Pruning, Regularization, Data Augmentation Bias and Variance (Sensitivity) Tradeoff OLS - Ordinary Least Square MLE - Maximum Liklihood Estimation Linear Regression Logistic Regression Gradient Descent Types - Batch Gradient Descent, Stochastic Gradient Descent (SGD), Mini Batch Gradient Descent, Momentum, Nesterov, Adagard, Adadelta, Adam KNN - K Nearest Neighbors LDA - Linear Discriminant Analysis Naive Bayes SVM - Support Vector Machines CART - Classification and Regression Trees Random Forest Bagging Bootstrapping Boosting AdaBoost Helpful for quick reference and Interview Preparation Machine Learning All in One