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Procellaria

Procellaria

Machine Learning

Written 3 years ago
Prof. Andrew Ng is a wonderful guide to introduce the machine learning basis. The course offers an overview on linear regression, logistic regression, neural network, support vector machine, regularization, validation, and some unsupervised machine learning methods. The contents are very clear and easy, but powerful. It is not required a pregressive knowledge of programming, a brief introduction to MATLAB/Octave is provided at the beginning of the course.
My rating
Procellaria completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

StatLearning: Statistical Learning

Written 3 years ago
The course is a good view of the supervised learning methods. Most of the lessons are clear and self-consistent, in some cases, a pre-existing knowledge of statistical concepts is necessary for a full understanding. The teachers pay special attention to introduce to the proper use of the techinques. The R sessions are useful and clear. Nevertheless, the course can be improved in several points (in my opinion Ch9 and Ch10 are hasty, the tree-based methods are introduced properly but the explanation of random rorests and boosting are not completely clear).
My rating
Procellaria completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

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