(This article is now a chapter of my github proto-book Bayesuvius) Simpson’s paradox is a recurring nightmare for all statisticians overseeing a clinical trial for ...
Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model: Y�...
I just uploaded a new chapter to my github proto-book “Bayesuvius”. This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networ...
With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a l...
This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from the edx Course: MITx ̵...
Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now h...
How great would it be to monitor your fields remotely through a smart gadget? The Internet of Things is defining the new present and future of the farming world. It is po...
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advan...
This article was written by Motoki Wu. Full title: How to construct prediction intervals for deep learning models using Edward and TensorFlow. Edward and Tensorflow. Sou...
Math and statistics are vital components of any data scientist’s tool box. While some view statistics as a type of math, the reality is that they are completely dif...