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Machine Learning

Python 99.18% PowerShell 0.03% Batchfile 0.01% C++ 0.27% C 0.31% Fortran 0.03% Smarty 0.01% Makefile 0.01% MATLAB 0.01% TeX 0.06% Jupyter Notebook 0.03% JavaScript 0.05% HTML 0.01% CSS 0.01%

csci381-machinelearning's Introduction

CSCI 381 - Machine Learning

Instructor

Chialing Tsai

Semester

Fall 2020

Course Topics

Foundations of machine learning
Linear regression
Logistic regression (classification)
Nonlinear transformation
Regularization
Validation
Aggregation model
SVM
Neural network
Deep learning
Unsupervised learning (K-Means)
Dimensionality reduction (PCA)
Machine learning pipeline

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