How are decision trees trained and what is entropy?


intuitions behind Data Science

Decision Trees and Entropy

A quick introduction to central limit theorem and why it helps data analysis


Thoughts on causality and the need for a control sample


Can we think of neural networks as layers of decisions with regression and classification at each layer?


What are the different types of data attributes?


Generalizing the estimations of population parameters


What is the intuition behind cross-validation for estimating population parameters?
