Machine Learning Homework 1
Ayush Jaiswal
USC ID: 4487908418
University of Southern California
1
1.1
Naive Bayes
Parametric form of Naive Bayes with Gaussian Assumption
We use the notation Y = y0 for Y = 0 and Y = y1 for Y = 1. We know from the problem de

CSCI567 Machine Learning (Fall 2016)
Dr. Yan Liu
yanliu.cs@usc.edu
August 29, 2016
Dr. Yan Liu (yanliu.cs@usc.edu)
CSCI567 Machine Learning (Fall 2016)
August 29, 2016
1 / 30
Density Estimation
Outline
1
Density Estimation
Dr. Yan Liu (yanliu.cs@usc.edu)

CSCI567 Machine Learning (Fall 2016)
Dr. Yan Liu
yanliu.cs@usc.edu
August 28, 2016
Dr. Yan Liu (yanliu.cs@usc.edu)
CSCI567 Machine Learning (Fall 2016)
August 28, 2016
1 / 31
About this Course
Outline
1
About this Course
Administration
Syllabus
2
Overview

CSCI567 Machine Learning (Fall 2016)
Dr. Yan Liu
yanliu.cs@usc.edu
September 7, 2016
Dr. Yan Liu (yanliu.cs@usc.edu)
CSCI567 Machine Learning (Fall 2016)
September 7, 2016
1 / 44
First Classifier : Nearest neighbor classifier
Outline
1
First Classifier :

CSCI567 Machine Learning (Fall 2016)
Dr. Yan Liu
yanliu.cs@usc.edu
August 28, 2016
Dr. Yan Liu (yanliu.cs@usc.edu)
CSCI567 Machine Learning (Fall 2016)
August 28, 2016
1 / 31
Administration Matters
Outline
1
Administration Matters
2
Overview
3
Review on P