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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? [[http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf|Rules of Machine Learning: Best Practices for ML Engineering]] == TensorFlow == [[https://github.com/jostmey/NakedTensor|NakedTensor: Bare bone examples of machine learning in TensorFlow]] [[https://github.com/astorfi/TensorFlow-World|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) == [[https://generalabstractnonsense.com/2017/03/A-quick-look-at-Support-Vector-Machines/|A quick look at Support Vector Machines | General Abstract Nonsense]] [[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]] |
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
