Simpson’s paradox, or why your intuition about averages is probably wrong

I came across Simpson’s paradox in Judea Pearl’s book The Book of Why. It completely changed the way I thought about average statistics such as mean, standard deviation and correlation.

Inspired by that, I explored Simpson’s paradox in a 10-minute video.

I hope you enjoy the video. Leave your comments on Youtube (or on an email to me) if you have feedback.

Why deep neural networks work so well?

Earlier, I had written about machine learning algorithms and how they struggle to do things that a 5-year-old can master: walking, speaking, and drawing.

This time, I go into much more detail and explore a particular type of machine learning algorithm: deep neural networks (DNNs). These brain-inspired algorithms are effective even on “natural world” tasks: translate between languages, drive cars and recognize cats and dogs.

Why do deep neural networks work so well? Where does their magic come from? I explore these questions + more in my new 16-minute video. ...  Read the entire post →

Logistic maps (and what they tell us about free will)

I’m told that people have started preferring videos over text, and personally, I’m a fan of Youtube creators like 3Blue1Brown. I’ve learned a lot from videos that take a difficult topic and explain it in simple words.

Inspired by this shifting trend, I’m exploring communicating my ideas and thoughts via a narrated video (instead of text). Here’s the first one on an equation called logistic map (and its relation to free will). I hope you enjoy the video.

This is my first video, so I appreciate any feedback you send my way (via Twitter or email, see below). Love it? Hate it? Anything I should consider changing in future videos?  ...  Read the entire post →