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Accomplishment of the Stanford Machine Learning Course on Coursera

You don't know about coursera.org/? Briefly, it proposes online courses from different universities (american but not only).


I studied the Machine Learning Course of Andrew Ng from Stanford university (starting on April 23, 2012):

https://www.coursera.org/course/ml

The course duration is 10 weeks. The course is made of lectures (video), Review Questions (Quizz), and Programming Exercices (in Octave).
The amont of work is about 5 to 7 hours per week. Review Questions and Programming Exercices have to be submit each week with deadlines.

The overview of the Machine Learning Course content is the following:
Week 1
- Introduction
- Linear Regression with One Variable
- Review Questions (for the week's topics)
- (Optional) Linear Algebra Review

Week 2
- Linear Regression with Multiple Variables
- Octave Tutorial
- Review Questions (for the week's topics)
- Programming Exercise 1 : Linear regression

Week 3
- Logistic Regression
- Regularization
- Review Questions (for the week's topics)
- Programming Exercise 2 : Logistic regression

Week 4
- Neural Networks: Representation
- Review Questions (for the week's topics)
- Programming Exercise 3 : Multi-class classification and neural networks

Week 5
- Neural Networks: Learning
- Review Questions (for the week's topics)
- Programming Exercise (Neural network learning)

Week 6
- Advice for Applying Machine Learning
- Machine Learning System Design
- Review Questions (for the week's topics)
- Programming Exercise : Bias-variance

Week 7
- Support Vector Machines (SVMs)
- Review Questions (for the week's topics)
- Programming Exercise : SVMs

Week 8
- Clustering
- Dimensionality Reduction
- Review Questions (for the week's topics)
- Programming Exercise : K-Means and PCA

Week 9
- Anomaly Detection
- Recommender Systems
- Review Questions (for the week's topics)
- Programming Exercise : Anomaly Detection and Recommender Systems

Week 10
- Large-Scale Machine Learning
- Example of an application of machine learning
- Review Questions (for the week's topics)

mentions légales - création revaweb