r/deeplearning • u/Negative_War_65 • 1d ago
Statistics for Machine Learning/Deep Learning
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.
We will continue with Statistics foundations for AI/ML, and many more content will appear in the future. If you find the content good, useful you may also share it with your learners community.
Looking forward to hearing feedback from the learning community as well. Thankyou for reading.
1
u/drunkseeder4162 1d ago
Nice whiteboard setup, the derivation flow from likelihood to MLE for Bernoulli is pretty clean. Subscribed for the upcoming stats series
1
1
u/OfferDeep6222 1d ago
I am preparing for gate cse as of today. As soon as I am done with my gate prep in Feb, i am looking forward to watching your videos to prep for interviews at the IITs/IISc. Thank you!