A Glimpse of Data Science Cheat Sheet
There are many facets to Machine Learning. As I started brushing up on the subject, I came across various “cheat sheets” that compactly listed all the key points I needed to know for a given topic. Eventually, I compiled over 20 Machine Learning-related cheat sheets. Some I reference frequently and thought others may benefit from them too. Let me know if I’m missing any you like.
Machine Learning
There are a handful of helpful flowcharts and tables of Machine Learning algorithms. I’ve included only the most comprehensive ones I’ve found.
Neural Network Architectures
Source: http://www.asimovinstitute.org/neural-network-zoo/
The Neural Network Zoo
Microsoft Azure Algorithm Flowchart
Source: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheet
Machine learning algorithm cheat sheet for Microsoft Azure Machine Learning Studio
SAS Algorithm Flowchart
Source: http://blogs.sas.com/content/subconsciousmusings/2017/04/12/machine-learning-algorithm-use/
SAS: Which machine learning algorithm should I use?
Algorithm Summary
Source: http://machinelearningmastery.com/a-tour-of-machine-learning-algorithms/
A Tour of Machine Learning Algorithms
Source: http://thinkbigdata.in/best-known-machine-learning-algorithms-infographic/
Which are the best known machine learning algorithms?
Algorithm Pro/Con
Source: https://blog.dataiku.com/machine-learning-explained-algorithms-are-your-friend
Python
Unsurprisingly, there are a lot of online resources available for Python. For this section, I’ve only included the best cheat sheets I’ve come across.
Algorithms
Source: https://www.analyticsvidhya.com/blog/2015/09/full-cheatsheet-machine-learning-algorithms/
Python Basics
Source: http://datasciencefree.com/python.pdf
Source: https://www.datacamp.com/community/tutorials/python-data-science-cheat-sheet-basics#gs.0x1rxEA
Numpy
Source: https://www.dataquest.io/blog/numpy-cheat-sheet/
Source: http://datasciencefree.com/numpy.pdf
Source: https://www.datacamp.com/community/blog/python-numpy-cheat-sheet#gs.Nw3V6CE
Pandas
Source: http://datasciencefree.com/pandas.pdf
Source: https://www.datacamp.com/community/blog/python-pandas-cheat-sheet#gs.S4P4T=U
Matplotlib
Source: https://www.datacamp.com/community/blog/python-matplotlib-cheat-sheet
Scikit Learn
Source: https://www.datacamp.com/community/blog/scikit-learn-cheat-sheet#gs.fZ2A1Jk
Source: http://peekaboo-vision.blogspot.de/2013/01/machine-learning-cheat-sheet-for-scikit.html
Source: https://github.com/rcompton/ml_cheat_sheet/blob/master/supervised_learning.ipynb
Math
If you really want to understand Machine Learning, you need a solid understanding of Statistics (especially Probability), Linear Algebra, and some Calculus. I minored in Math during undergrad, but I definitely needed a refresher. These cheat sheets provide most of what you need to understand the Math behind the most common Machine Learning algorithms.
Probability
Source: http://www.wzchen.com/s/probability_cheatsheet.pdf
Linear Algebra
Source: https://minireference.com/static/tutorials/linear_algebra_in_4_pages.pdf
Statistics
Source: http://web.mit.edu/~csvoss/Public/usabo/stats_handout.pdf
Calculus
Source: http://tutorial.math.lamar.edu/getfile.aspx?file=B,41,N
