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drexel-machinelearning's Introduction

Drexel - Machine Learning

CS 383 Machine Learning @ Drexel winter 2017

Exam Review Notes

Homework 1

  • Visualizing Data
  • Dimensionality Reducing (PCA)

Homework 2

  • Clustering using k-means

Homework 3

  • Closed Form Linear Regression
  • S-Folds Cross Validation

Homework 4

  • Gradient Descent

Homework 5 and 6

  • k-Nearest Neighbors

Homework 7

  • Support Vector Machines
  • Multi-Class Support Vector Machines

Homework 8

  • Artificial Neural Networks
  • The Precision-Recall Tradeoff
  • Multi-Class Artificial Neural Networks

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