Understanding Jacobian and Hessian matrices with example

19 mins read In this post, you will find what the Jacobian matrix and the Hessian matrix are and how to calculate them. […]

Bayesian view of linear regression – Maximum Likelihood Estimation (MLE) and Maximum APriori (MAP)

16 mins read Linear Regression is commonly the first machine learning problem that people are interested in in the area of study. For […]

Why does LASSO regression (L1 regularization) shrink coefficients to zero but not the Ridge?

11 mins read We often read almost everywhere that Lasso regression encourages zero coefficient and hence provides a great tool for variable selection as well but it […]

Data Science and Machine Learning Cheat Sheets

5 mins read Click on the links to get the high-resolution cheat sheets. Algebra Linear Algebra Calculus Probability Statistics Python R Machine Learning […]