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:

• Introduction
• Linear regression with one variable
• Linear Algebra review (Optional)

Week 2:

• Linear regression with multiple variables
• Octave tutorial
• Programming Exercise 1: Linear Regression

Week 3:

• Logistic regression
• Regularization
• Programming Exercise 2: Logistic Regression

Week 4:

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

Week 5:

• Neural Networks: Learning
• Programming Exercise 4: Neural Networks Learning

Week 6:

• Advice for applying machine learning
• Machine learning system design
• Programming Exercise 5: Regularized Linear Regression and Bias v.s. Variance

Week 7:

• Support vector machines
• Programming Exercise 6: Support Vector Machines

Week 8:

• Clustering
• Dimensionality reduction
• Programming Exercise 7: K-means Clustering and Principal Component Analysis

Week 9:

• Anomaly Detection
• Recommender Systems
• Programming Exercise 8: Anomaly Detection and Recommender Systems

Week 10:

• Large scale machine learning
• Application example: Photo OCR