Machine Learning: Maximum Likelihood Estimation

Hey guys, we'll today continue with the machine learning videos and cover a technique of learning the likelihood- Maximum Likelihood Estimation.
Enjoy!

[@asdrjg]

Very Informative and well presented. I do enjoy such theoretical content. Hope you continue making such videos.

[@borismeinardus]

I‘m really glad you enjoyed it! I‘ll do my best to produce content that you guys enjoy ☺️ This will hopefully also include more theoretical content.

[@KaneRylander]

I have a good understanding of the end goal of choosing a distribution for each independent observation (3:10), however I am a bit confused on why this works. If we are really choosing a distribution for one observation, wouldn't this just be a delta function since it has a 100% chance of theta fitting the datapoint exactly at that point and a 0% chance elsewhere? It seems like we are almost choosing the standard deviation for the function. Apologies, I would just like to fully understand the process.

[@emirbfitness]

Nice

[@CraftGabi]

Smith Sharon Moore Daniel Perez Jason

[@subhobratamukharjee1783]

Again a great video Thanks

[@borismeinardus]

Thanks ☺️

[@im_insaf]

@2:07 It should be Parametric form?

[@-realfoodbro-]

Do you study at TU Berlin ? 😂

[@borismeinardus]

I do :)

[@alin50248]

Well explained with the proper formal notations that is rare to be seen, good job

[@borismeinardus]

Thank you very much!! ☺️

[@furo.v]

I'd recommend adding captions. It's hard to understand what's being said.

[@subhobratamukharjee1783]

yes please the video on bayesian parameter estimation also

[@borismeinardus]

Is on the list!

[@piyushdangare5680]

Can you make the parameter estimation video please

[@adityasonale1608]

very good explaination, keep posting more content like this

[@GeorgeDole]

Many thanks for this succinct explanation.

[@suindude8149]

Choosing the most likelihood estimation over estimators would be a good choice by forming a Best fit Chi squared model.

[@borismeinardus]

Not quite sure what you mean 🥸

[@suindude8149]

@@borismeinardus the list of estimators and the covariance of best fit by normal distribution....in a factory.

[@ashraygupta7255]

Damn you teach so well and surprisingly look so good too

[@borismeinardus]

haha thank you very much ☺️

[@Nailartco]

You are amazing!

[@borismeinardus]

Doing my best 😊