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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