I always wonder how your manner of speech and explanations are always clear and intelligible. Really amazing storytalling skills + intuitive explanations
Wow.Finally. I was waiting for this video for so long. Very well explained. I was struggling to derive it from scratch. Now I am clear where I had gone wrong. Amazing explaination.
I learn with my fingers :) and this is such an excellent video. Please make more such hands on videos, something on stochastic approximation or reservoir sampling would be greatly appreciated.
Minor comment on notation - I was taught this by my superviser, too... If you have a function that is denoted by more than 1 character, it should be "upright font". For instance, the fourth line, where you differentiate the log likelihood by \beta_0, it should be clear that "LL" is the name of _one_ variable. If it is in italic it is not clear. Because other variables are written also in italic, in this case it would be as if "LL" means: "L times L". Hope my explanation is understandable
Explaining a difficult subject clearly is an art!
Your videos make things so easy to understand. Great video 👍
Yes he does
I always wonder how your manner of speech and explanations are always clear and intelligible. Really amazing storytalling skills + intuitive explanations
Thank you! 😃
Wow.Finally. I was waiting for this video for so long. Very well explained. I was struggling to derive it from scratch. Now I am clear where I had gone wrong. Amazing explaination.
Glad you liked it
I learn with my fingers :) and this is such an excellent video. Please make more such hands on videos, something on stochastic approximation or reservoir sampling would be greatly appreciated.
One learns something new everyday. Thanks for the video.
Thanks for the informative vedio.!
Minor comment on notation - I was taught this by my superviser, too...
If you have a function that is denoted by more than 1 character, it should be "upright font".
For instance, the fourth line, where you differentiate the log likelihood by \beta_0, it should be clear that "LL" is the name of _one_ variable. If it is in italic it is not clear.
Because other variables are written also in italic, in this case it would be as if "LL" means: "L times L".
Hope my explanation is understandable
thanks!
Your channel is a goldmine. Never thought i would become a gold digger. :d
well done!
in general, your vids are pretty cool 👌🏻😎
Glad you like them!
Thanks for the video.
At 3:42 you say x_1 but you probably meant x_i because that's what's written on the paper.
This is awesome!
you make data science easy!
thanks!
graceful:)
Dear ritvikmath, can you please provide me with a link to the sources for the algorithm? Any textbooks or articles that you used? Thank you.
did you star in Designated Survivor ?
Don't know how it could be done but if you had a podcast I would happily be on that bus before it was painted yellow
something to think about!
Multivariate adaptive regression splines please??!!!!!!!!!!