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| [[http://blog.mailgun.com/machine-learning-for-everyday-tasks/|Machine Learning for Everyday Tasks]] | == General == [[http://blog.mailgun.com/machine-learning-for-everyday-tasks/|Machine Learning for Everyday Tasks]]. Data only has two dimensions? |
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| == TensorFlow == |
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| [[https://generalabstractnonsense.com/2017/03/A-quick-look-at-Support-Vector-Machines/|A quick look at Support Vector Machines | General Abstract Nonsense]] | [[https://github.com/astorfi/TensorFlow-World|astorfi/TensorFlow-World]]: Simple and easy to use TensorFlow samples & tutorials |
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| [[https://generalabstractnonsense.com/2017/03/A-quick-look-at-Support-Vector-Machines/|A quick look at Support Vector Machines | General Abstract Nonsense]] |
General
Machine Learning for Everyday Tasks. Data only has two dimensions?
Rules of Machine Learning: Best Practices for ML Engineering
TensorFlow
NakedTensor: Bare bone examples of machine learning in TensorFlow
astorfi/TensorFlow-World: Simple and easy to use TensorFlow samples & tutorials
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)
A quick look at Support Vector Machines
Udacity's Intro to Machine Learning concepts. Covers SVMs.
MIT OpenCourseWare 6.034 Artificial Intelligence lecture on Support Vector Machines
