In this post, I will list down all blog post I’ve composed throughout the semester, as well as some external resources which I believe will be of great use.

The List

• Beta Distribution

• Logistic Regression

• kNN by Kevin Zakka

• AdaBoost

• SVM

• K-Means

• A fantastic intro to PCA/Eigenvectors by Deeplearning4j

• Gaussian Mixture Model by Brilliant

• D-Separation in Bayes Net