Lecture
Machine Learning Basics
In course
DEMO: Lorem dolore deserunt
Et reprehenderit sit aliqua laboris ullamco Lorem officia ut anim est ad. Sint exercitation qui ullamco exercitation sunt elit aliquip qui. Aute laboris minim ex tempor aliqua laborum tempor consectetur qui nulla. Voluptate dolor magna exercitation elit. Ut est est quis ad esse sunt non nisi esse dolore. Ea quis ipsum veniam eiusmod ut dolor tempor fugiat occaecat.
Description
This lecture covers the fundamentals of machine learning, including the definition of machine learning, the difference between human and machine learning, supervised classification, labeled training sets, generic schemes, and applications in medical research, spam detection, and recommender systems. It also delves into topics such as nearest-neighbor classifiers, decision boundaries, training versus testing, polynomial curve fitting, underfitting, overfitting, and the importance of choosing the right k value in k-nearest-neighbor classifiers.
Instructor
laborum ut eiusmod labore
Lorem ex consequat cillum consequat qui culpa elit sint laboris duis officia aute magna. Enim nisi fugiat est cillum velit. Ut fugiat voluptate magna duis labore aute cupidatat ea qui id officia do. Sunt eiusmod nisi labore nostrud esse eu ipsum tempor qui amet aliqua occaecat. Voluptate proident sunt commodo velit ad mollit ad non in.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.