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


intuitions behind Data Science

Neural Networks

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


Thoughts on causality and the need for a control sample


What are the different types of data attributes?


Generalizing the estimations of population parameters


How are decision trees trained and what is entropy?


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