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University of Colorado Boulder (CU Boulder)

Prof. Gregory Grudic - Study notes

The content listed below has not been created by Gregory Grudic

Computer Science

Slides on Artificial Intelligence - Machine Learning | CSCI 5622

14 pag.

2009

Machine Learning - Quiz - Fall 2008 | CSCI 5622

10 pag.

2020

Density Estimation and Classification - Homework 3 | CSCI 3202

3 pag.

2009

Decision Trees in Artificial Intelligence: Entropy, Information Gain, and Overfitting - Pr

22 pag.

2009

Slides on Support Vector Machine - Introduction to Artificial Intelligence | CSCI 3202

9 pag.

2009

Quiz 1 on Regression - Machine Learning | CSCI 5622

4 pag.

2020

Decision Trees: Algorithms, Entropy, Information Gain, and Overfitting - Prof. Gregory Gru

21 pag.

2009

Learning with Weighted Examples - Machine Learning | CSCI 5622

4 pag.

2009

Machine Learning Projects for Mobile Robot Path Following in Outdoor Environments - Prof.

3 pag.

2009

Quiz 2 Questions on Introduction to Artificial Intelligence | CSCI 3202

1 pag.

2009

Support Vector Machine Classification - Slides | CSCI 3202

31 pag.

2009

Support Vector Machines (SVM) in Machine Learning: Optimization and Classification - Prof.

22 pag.

2009

Nearest Neighbor Classification & Regression: Algorithms, Models, Accuracy - Prof. Gregory

10 pag.

2009

Decision Trees: Algorithms, Entropy, Information Gain, and Overfitting - Prof. Gregory Gru

10 pag.

2009

Machine Learning: Classification Models & Rosenblatt's Perceptron Algorithm - Prof. Gregor

9 pag.

2009

SVM in Machine Learning: Maximize Margin, Find Optimal Hyperplanes - Prof. Gregory Grudic

9 pag.

2009

Introduction to Classification - Lecture Notes | CSCI 5622

6 pag.

2009

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