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 hadrienj.github.io
Deep Learning Book Series ยท Introduction
| | stephenmalina.com
Matrix Potpourri - Stephen Malina
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| | Matrix Potpourri # As part of reviewing Linear Algebra for my Machine Learning class, I've noticed there's a bunch of matrix terminology that I didn't encounter during my proof-based self-study of LA from Linear Algebra Done Right. This post is mostly intended to consolidate my own understanding and to act as a reference to future me, but if it also helps others in a similar position, that's even better!
| | grigory.github.io
Teaching Foundations of Data Science - The Big Data Theory
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| | Discussion of the class on Foundations of Data Science that I am teaching at IU this Fall.
| | blog.georgeshakan.com
Singular Value Decomposition and PCA | George Shakan
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| | Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, an example in python, and finally some intuition. The Math SVD asserts that any $latex m \times d$ matrix $latex...
| | algobeans.com
Convolutional Neural Networks (CNN) Introduction - Algobeans
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| While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks.