machine-learning-catalog.rst

1. Week1

   1. Introduction
   2. Linear Regression with One Variable
   3. Linear Algebra Review

2. Week2

   1. Linear Regression with Multiple Variables
   2. Octave/Matlab Tutorial

3. Week3

   1. Logistic Regression
   2. Regularization

4. Week4

   1. Neural Networks: Representation

5. Week5

   1. Neural Networks: Learning

6. Week6

   1. Advice for Applying Machine Learning
   2. Machine Learning System Design

7. Week7

   1. Support Vector Machines

8. Week8

   1. Unsupervised Learning
   2. Dimensionality Reduction

9. Week9

   1. Anomaly Detection
   2. Recommender Systems

10.Week10

1. Large Scale Machine Learning

11.Week11

1. Application Example: Photo OCR