The purpose of this post is to share an external article on machine learning. Unlike many other machine learning tutorials I’ve seen, which rely heavily on text and maybe a few plots, this one feels interactive, with the text following the diagrams.
You can read up on it here.
Overall, I think the tutorial is extremely well done – hats off to its creators. I do, however, have a couple of complaints:
1) The machine learning algorithm used in the example is the well-known decision tree. SVMs and neural networks, which are arguably more important than decision trees, aren’t referenced.
2) The tutorial tends toward the side of computational statistics, and doesn’t acknowledge examples of machine learning applied to computer vision or natural language processing,
3) There is no mention of boosting or ensembles, which are two important concepts in machine learning.
Hopefully these will be addressed in a future tutorial.
UPDATE: The tutorial is also available in Chinese.