- What should every data scientist know? https://github.com/alexmorley/every-data-scientist-should-know 4 comments datascience
Linked pages
- Welcome | R for Data Science http://r4ds.had.co.nz/index.html 161 comments
- But what is a neural network? | Chapter 1, Deep learning - YouTube https://www.youtube.com/watch?t=279s&v=aircAruvnKk 107 comments
- Programming Languages - Hyperpolyglot https://hyperpolyglot.org/ 106 comments
- go | The Open Source Data Science Masters http://datasciencemasters.org/ 105 comments
- Creative Commons — Attribution 4.0 International — CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ 95 comments
- Python Data Science Handbook | Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/ 69 comments
- http://static.googleusercontent.com/media/research.google.com/en/pubs/archive/43146.pdf 55 comments
- CS 61B: Data Structures - Shewchuk - UC Berkeley https://people.eecs.berkeley.edu/~jrs/61b/ 43 comments
- Machine Learning Flashcards https://machinelearningflashcards.com/ 39 comments
- xkcd: Forgot Algebra http://xkcd.com/1050 36 comments
- GitHub - mtdvio/every-programmer-should-know: A collection of (mostly) technical things every software developer should know about https://github.com/mtdvio/every-programmer-should-know 35 comments
- ColorBrewer: Color Advice for Maps https://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3 12 comments
- Improving your statistical inferences | Coursera https://www.coursera.org/learn/statistical-inferences/ 10 comments
- GitHub - jtoy/awesome-tensorflow: TensorFlow - A curated list of dedicated resources http://tensorflow.org https://github.com/jtoy/awesome-tensorflow 5 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/awesomedata/awesome-public-datasets 2 comments
- Stanford University CS224d: Deep Learning for Natural Language Processing http://cs224d.stanford.edu/ 2 comments
- GitHub - fastai/numerical-linear-algebra: Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course https://github.com/fastai/numerical-linear-algebra/ 1 comment
- Trello https://trello.com/b/rbpEfMld/data-science 0 comments
- the morning paper | a random walk through Computer Science research, by Adrian Colyer https://blog.acolyer.org/ 0 comments
- Teaching - CS 229 https://stanford.edu/~shervine/teaching/cs-229.html 0 comments