Submitted by Fun_Wolverine8333 t3_xzoomn in MachineLearning
Hi ML community,
I am a researcher trying to start a Youtube channel offering 5-10 min explanations of key concepts in statistics, machine learning (and eventually reinforcement learning). I think that explaining these concepts would force me to understand these topics more clearly and would be great for my learning process. This is not a plug for you to watch my videos - I just want to collect some initial feedback on what you think, what directions I can go in, if I should change something about my recording process etc.
Here is my first video:
https://www.youtube.com/watch?v=TJlJsh7G6XY
I plan to make 1-2 videos every weekend, and for the first few weeks I am focusing on Monte Carlo approximation techniques. So, I have the following topics lined up - inverse probability transform (this video), rejection sampling, importance sampling, Gibbs sampling MCMC, Metropolis Hastings MCMC, and a few more. I am preparing this material mostly from Murphy's ML book.
So, please take a look and let me know what I can improve. I have a decent microphone and I record in bursts of 1-2 mins, up until the whole video is shot. I am using Notability for explaining equations, and I will put in pictures whenever needed.
Thank you in advance!
Affectionate_Log999 t1_irokzmv wrote
I think what people want most to see is actual implementation of those stuff, not just going through the paper and explaining math.