Machine Learning Concepts [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Dear Folks, I have created multiple content on Machine Learning(work in progress), and they are free. I am a data scientist and a post grad degree holder in AI/ML from IIT. To help the machine learning community with important Machine Learning Concepts, I have created multiple long form videos, and structured topicwise digestible contents structured as playlists for learning.
If you go through the first two playlists:
Introductory Machine Learning Concepts
Probability Foundations: Univariate Models
You might find helpful content, I have tried explaining with intuitions, derivations, and this is work in progress. For code implementations, scikit learn website has great content on them as well. In total they have 60+ topicwise videos so far, and I think they have the potential to help folks a lot in starting with concepts, or getting with mathematical concepts, or whether you are preparing for an AI/ML/Data job interviews etc.
When I sat for my interviews, I was grilled on my project, but majority of questions from my project tested more on foundational concepts and there know how’s.
These are FREE content on youtube. This is for the benefit of the learning community.
Link: https://youtube.com/@aayushsugandh4036?si=w5MKORU2fWzLRrAJ
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