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Links to Stanford Machine Learning lectures, login not required
I'm sure you all know about www.ml-class.org - if I were to distillate all lectures to bare minimum it would be to learn about support vector machines (SVM).
Contrary to common believes SVMs are a VERY large class of learners. Linear SVM would be just 1 of 10^10 ways of using SVM. It can be used to do regression, classification, clustering, feature selection, feature weighting, feature engineering, projections, and visualizations. That's why I decided to post few links to the prof. Ng's videos (in the comments section to have clickable URLs).
- zeratul 15y agoOnes, that I would focus on: Model selection http://www.ml-class.org/course/video/embed?video_id=62&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=62&s... Diagnosing bias vs. variance http://www.ml-class.org/course/video/embed?video_id=63&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=63&s... SVM Optimization Objective http://www.ml-class.org/course/video/embed?video_id=72&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=72&s... Large Margin Intuition http://www.ml-class.org/course/video/embed?video_id=73&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=73&s... Mathematics Behind Large Margin Classification (Obligatory!!!) http://www.ml-class.org/course/video/embed?video_id=74&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=74&s... Kernels I http://www.ml-class.org/course/video/embed?video_id=75&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=75&s... Kernels II http://www.ml-class.org/course/video/embed?video_id=76&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=76&s... Using An SVM http://www.ml-class.org/course/video/embed?video_id=77&speed=100&seekTo=0 http://www.ml-class.org/course/video/embed?video_id=77&s... ... yep, you don't need to login.
- Edmond 15y agoI would like to recommend HoloKlip (http://bit.ly/uoOuRh http://bit.ly/uoOuRh) for managing video lessons. Instead of multiple clips and urls, you just virtually clip one video.