But you missed the best part, how we can engineer any combination we want to fit our data. We can model different types of trends, heteroscedasticity and of course, sample from either pdf or pmf. They are incredibly flexible. By the way, ultimately what's the scope of this channel? Can we eventually expect videos on things like measure theoretic probability, stochastic processes and the like?
There might be one video on measure theory sometime, but no, I plan to stick more on the statistics and data science end. Any more probability videos would probably be similar to the Markov/Chebyshev's inequality videos.
This is a great explanation. I love the visuals showing how they are all related. Thank you.
Thanks!
Finally it came!!!
Thanks for the inspiration!
But you missed the best part, how we can engineer any combination we want to fit our data. We can model different types of trends, heteroscedasticity and of course, sample from either pdf or pmf. They are incredibly flexible.
By the way, ultimately what's the scope of this channel? Can we eventually expect videos on things like measure theoretic probability, stochastic processes and the like?
There might be one video on measure theory sometime, but no, I plan to stick more on the statistics and data science end. Any more probability videos would probably be similar to the Markov/Chebyshev's inequality videos.