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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]] == Courses == * [[https://medium.com/@andrewng/deeplearning-ai-announcing-new-deep-learning-courses-on-coursera-43af0a368116|deeplearning.ai: Announcing new Deep Learning courses on Coursera]] * [[https://research.fb.com/the-facebook-field-guide-to-machine-learning-video-series/|Introducing the Facebook Field Guide to Machine Learning video series]] |
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
An introduction to Support Vector Machines (SVM)
