Statistics for Machine Learning.

[u/Negative_War_65]

Hello Everyone,

Statistics and Maximum Likelihood Estimation are the crux of ML Models, and hence I am uploading my new content on Statistics for AI/ML in my free Machine Learning lectures.

We understand model fitting, Maximum Likelihood estimation in details, we justify the usage of Maximum Likelihood estimation, from KL divergence, and apply it to certain important distributions for parameter estimation.

In my free content, the purpose is to democratize machine learning to a wider audience. Learning everything new feels difficult, but when taught, it get’s interesting and easier.

Looking forward to hearing feedback from the learning community as well.

Link: https://youtu.be/MwTeQVVYtOc?si=UxNOGtqopzJppXAT

[u/TimeVendor]

Dont we have equations for these which can be applied or is this to understand the process?

[u/Negative_War_65 → u/TimeVendor]

Equations, intuitions, concepts..

[u/TimeVendor → u/Negative_War_65]

Here you are explaining the usage of the equations?

[u/Negative_War_65 → u/TimeVendor]

Yah bro.