Media Summary: Here we overview the problem of clustering, why it's so different from supervised learning problems, how to select the number of ... We start with a quick intro to unsupervised learning, then discuss Principal Component Analysis and its applications in ... Here we cover the main idea that makes it possible to efficiently train simple linear models with very large datasets. We cover ...
Mlcourse Ai Lecture 7 Part - Detailed Analysis & Overview
Here we overview the problem of clustering, why it's so different from supervised learning problems, how to select the number of ... We start with a quick intro to unsupervised learning, then discuss Principal Component Analysis and its applications in ... Here we cover the main idea that makes it possible to efficiently train simple linear models with very large datasets. We cover ... Probabilistic Inference , Adaptation and new Boolean notation for simplicity , Bulling out terms , Maximize independence , Variable ... Here we discuss mathematical foundations of Logistic regression, we stick to ML view this will also help to study neural nets. for more information please visit ,, ...
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