https://github.com/1094401996/machine-learning-coursera

Lecture notes and assignments for coursera machine learning class
https://github.com/1094401996/machine-learning-coursera

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Lecture notes and assignments for coursera machine learning class

• Host: GitHub
• URL: https://github.com/1094401996/machine-learning-coursera
• Owner: 1094401996
• Created: 2013-03-15T08:32:47.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2013-03-15T08:33:20.000Z (over 11 years ago)
• Last Synced: 2024-02-06T22:37:22.186Z (4 months ago)
• Language: Matlab
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  • Readme: README.md

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README

        
machine-learning-coursera

=========================

Coursera machine learning course resources.

# Text book:

Bayesian Reasoning and Machine Learning

http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf

# Video lectures:

https://class.coursera.org/ml/lecture/preview

# Schedule:

## Week 1 - Due 01/06:

X Introduction

X Linear regression with one variable

X Linear Algebra review (Optional)

## Week 2 - Due 01/13:

X Linear regression with multiple variables

- Octave tutorial

- Programming Exercise 1: Linear Regression

## Week 3 - Due 01/20:

- Logistic regression

- Regularization

- Programming Exercise 2: Logistic Regression

## Week 4 - Due 01/27:

- Neural Networks: Representation

- Programming Exercise 3: Multi-class Classification and Neural Networks

## Week 5 - Due 02/03:

- Neural Networks: Learning

- Programming Exercise 4: Neural Networks Learning

## Week 6 - Due 02/10:

- Advice for applying machine learning

- Machine learning system design

- Programming Exercise 5: Regularized Linear Regression and Bias v.s. Variance

## Week 7 - Due 02/17:

- Support vector machines

- Programming Exercise 6: Support Vector Machines

## Week 8 - Due 02/24:

- Clustering

- Dimensionality reduction

- Programming Exercise 7:

K-means Clustering and Principal Component Analysis

## Week 9 - Due 03/03:

- Anomaly Detection

- Recommender Systems

- Programming Exercise 8: Anomaly Detection and Recommender Systems

## Week 10 - Due 03/10:

- Large scale machine learning

- Application example: Photo OCR