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[置顶] 【python 资料整理】机器学习、数学、Python 速查表

2017-09-07 16:07 591 查看
1、机器学习

http://www.asimovinstitute.org/neural-network-zoo/

https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheet

http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/

http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/

https://blog.dataiku.com/machine-learning-explained-algorithms-are-your-friend

2、ML算法

https://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/

3、python 基础

http://datasciencefree.com/python.pdf

https://www.datacamp.com/community/tutorials/python-data-science-cheat-sheet-basics#gs.0x1rxEA

4、numpy

https://www.dataquest.io/blog/numpy-cheat-sheet/

http://datasciencefree.com/numpy.pdf

https://www.datacamp.com/community/blog/python-numpy-cheat-sheet#gs.Nw3V6CE

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/numpy/numpy.ipynb

5、pandas

http://datasciencefree.com/pandas.pdf

https://www.datacamp.com/community/blog/python-pandas-cheat-sheet#gs.S4P4T=U

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/pandas/pandas.ipynb

6、matplotlib

https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib.ipynb

7、Scikit Learn

https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet#gs.fZ2A1Jk

http://peekaboo-vision.blogspot.de/2013/01/machine-learning-cheat-sheet-for-scikit.html

https://github.com/rcompton/ml_cheat_sheet/blob/master/supervised_learning.ipynb

8、Tensorflow

https://github.com/aymericdamien/TensorFlow-Examples/blob/master/notebooks/1_Introduction/basic_operations.ipynb

9、Pytorch

https://github.com/bfortuner/pytorch-cheatsheet

10、概率论

http://www.wzchen.com/s/probability_cheatsheet.pdf

11、线性代数

https://minireference.com/static/tutorials/linear_algebra_in_4_pages.pdf

12、统计学

http://web.mit.edu/~csvoss/Public/usabo/stats_handout.pdf

13、微积分

http://tutorial.math.lamar.edu/getfile.aspx?file=B,41,N
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