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== Support Vector Machines (SVMs) == [[https://www.udacity.com/course/intro-to-machine-learning--ud120|Udacity's Intro to Machine Learning concepts]]. Covers SVMs. [[https://www.youtube.com/watch?v=_PwhiWxHK8o|MIT OpenCourseWare 6.034 Artificial Intelligence lecture on Support Vector Machines]] [[https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/|An introduction to Support Vector Machines (SVM) | MonkeyLearn Blog]] |
Machine Learning for Everyday Tasks
Rules of Machine Learning: Best Practices for ML Engineering
NakedTensor: Bare bone examples of machine learning in TensorFlow
A quick look at Support Vector Machines
Applications
https://github.com/luanfujun/deep-photo-styletransfer: Given a "style" photo and a "target" photo, make the target photo look visually similar to the style photo
https://github.com/junyanz/interactive-deep-colorization: Colorize black & white photos.
Linear Algebra
Books
Axler, Sheldon. Linear Algebra Done Right.
Support Vector Machines (SVMs)
Udacity's Intro to Machine Learning concepts. Covers SVMs.
MIT OpenCourseWare 6.034 Artificial Intelligence lecture on Support Vector Machines
