Description

I am a computer science and neuroscience major in a Bachelor of IT/Bachelor of Science (Advanced) course at the University of Sydney. These notes enabled me to achieve a score of 83 in Machine Learning and Data Mining. These notes cover the following topics: Introduction, Basic Matrix Analysis and Singular Value Decomposition, Basics of Probability Theory and Bayes’ Rule, Basics of Classification and ROC Curves, Linear Regression-Overfitting, Logistic Regression, Support Vector Machines, Multiclass Classification, Clustering, Large Scale Machine Learning and Deep Learning.


USYD

Semester 2, 2020


22 pages

4,597 words

$29.00

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