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Math · Advanced
Machine Learning
Machine learning lets a computer learn patterns from examples instead of following hand-written rules. Classify with nearest neighbours and decision trees, find groups with k-means, measure mistakes with precision and recall, see why models must be tested on data they haven't seen, build a spam filter with Bayes' rule, squeeze data down to its main directions, and recommend films from ratings.
8 lessons~40 min0/8 complete
Start courseHelpful background: Statistics, and Vectors & Matrices
1
Learning from Examples
Classifying new things.
2
Judging a Model
Mistakes, testing and probability.
3
Finding Structure
Directions and similarities.