I got my PhD for a negative result, I even managed to publish it. Finding out your hypothesis was wrong is still a hard-won contribution to knowledge, which requires all the same skills as a positive result. Nothing to be upset or ashamed about!

there are so many resources about doing and so few about understanding what we are doing

I went to an “engineering meetup” couple of months ago and this was one of the conversations i had with a guy there: > hey what do you in your free time? > i am trying to write my own kernel > why? > because it is fun and it helps me be a better developer, as I know whats

linear algebra is much easier if you view matrices as transformations

I would like to inform you that I have passed a semi senior data scientist interview for a new position! 😍😍😍

"If we want to make better decisions, we need to break down that wall between the data and the decision itself. If we can collect or generate data that corresponds directly to the choices or courses of action that are available to decision makers, we can spare them the need to

Why no one talks about the fact that Fisher single handedly developed the concepts of modern statistics that AI builds upon???

Terence Tao is so right... You can't just casually read a math book hoping you will learn anything... You actually have to sit down with a pen and paper, roll up your sleeves, turn your phone off and do the grind.

✨ Importance of Law of Large Numbers and Central Limit Theorem✨ Hello everyone. I've been reading a lot about statistics later, and I don't think the importance of Law of Large Numbers (LLN) and Central Limit Theorem (CLT) is emphasized clearly enough: Law of Large Numbers:

✨SAMPLE VARIANCE FORMULA✨ Hello everyone. Today, I was feeling like sharing some math-based proof on the formula for sample variance! Like, why is it that it is divided by n-1??? Well, long story short, it can be proven by Maximum Likelihood Estimation that if we divide by

Mathematical statistics make many things make sense now

Learning about confidence intervals from a statistical mathematics standpoint and feeling like this should be the standard way we think of estimation

The more “real” statistics I learn, the more I realize that I now know more things I don't understand about machine learning 😅

I just took my first course on datacamp, and to be honest, I don't know how I feel about their teaching method… I feel like it heavily relies on memorization because it uses its own sandbox. Also, projects feel less tangible as you don't create your own files and project

✨Bayesian Statistics in an Image✨

having an herman miller chair has changed my life. It has helped keep my posture in a natural comfortable position while preventing future diseases or injuries 100/100 They are expensive, but way more worth it

Hello everyone. I'm back after some time off social media :)