This is a list of material we could check for quality and link if it is good: - [ ] [Forecasting: principles and practice](https://www.otexts.org/fpp): Seems to use R - [ ] [Morphing Faces](http://vdumoulin.github.io/morphing_faces/) - [ ] [Neural Networks, Types, and Functional Programming](http://colah.github.io/posts/2015-09-NN-Types-FP/) - [ ] [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com/) ## Online Courses - [Mining Massive Datasets](https://www.coursera.org/course/mmds) - [Data Science at Scale Specialization](https://www.coursera.org/specializations/data-science) - [Data Analysis and Interpretation Specialization](https://www.coursera.org/specializations/data-analysis) - [Big Data Specialization](https://www.coursera.org/specializations/big-data) - [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning) - [CMU: Introduction to Machine Learning](http://alex.smola.org/teaching/cmu2013-10-701/) by Alex Smola - [nVidia: Deep Learning Courses](https://developer.nvidia.com/deep-learning-courses) ## Videos - [ ] [Machine Learning Summer School (MLSS), Cambridge 2009](http://videolectures.net/mlss09uk_cambridge/) ## Events - [ ] [re-works](https://www.re-work.co/events)
This is a list of material we could check for quality and link if it is good:
Online Courses
Videos
Events