Today I share an article about machine learning. Linux China has been translated in half pages… My Curated List of AI and Machine Learning Resources from Around the Web.
Cheat Sheet of Machine Learning and Python (and Math) Cheat Sheets
27 machine learning cheat sheets to keep
There are many aspects to Machine Learning, and as I started researching and Learning it, I came across various “cheat sheets” that succinctly list the key points for a given topic. I ended up with over 20 machine learning cheat sheets, some of which I read regularly and others that I learned a lot from. This article contains 27 cheat sheets I found on the Internet, so please let me know if I missed anything.
The field of machine learning is changing so fast that I think these will soon become obsolete, but at least as of June 1, 2017, they are still in fashion.
If you want these charts, you don’t have to download them one by one like I did, just click here to download them.
If you liked this post, share it with more people, and if you want to thank me, go to the same address and like it.
Here are some useful flowcharts and tables of machine learning algorithms, but I’ve included only the most comprehensive ones I’ve found.
Neural network architecture
Source: www.asimovinstitute.org/neural-netw…
Microsoft Azure algorithm flow chart
Source: docs.microsoft.com/en-us/azure…
Machine learning algorithms for Microsoft Azure Machine Learning Studio:
Flow chart of SAS algorithm
Source: blogs.sas.com/content/sub…
SAS: Which machine learning algorithm should I use? :
Algorithm is summarized
Source: machinelearningmastery.com/a-tour-of-m…
Machine Learning Algorithm guidelines:
Source: thinkbigdata. / best – known -…
What is the best known machine learning algorithm? :
algorithm
Source: blog.dataiku.com/machine-lea…
Python naturally, there are many online resources for Python, and in this section I’ve included only the best cheat sheets I’ve seen.
algorithm
Source: www.analyticsvidhya.com/blog/2015/0…
Python based
Source: datasciencefree.com/python.pdf
Source: www.datacamp.com/community/t…
Numpy
Source: www.dataquest.io/blog/numpy-…
Source: datasciencefree.com/numpy.pdf
Source: www.datacamp.com/community/b…
Source: github.com/donnemartin…
Pandas
Source: datasciencefree.com/pandas.pdf
Source: www.datacamp.com/community/b…
Source: github.com/donnemartin…
Matplotlib
Source: www.datacamp.com/community/b…
Source: github.com/donnemartin…
Scikit Learn
Source: www.datacamp.com/community/b…
Source: peekaboo – vision. Blogspot. DE / 2013/01 / MAC…
Source: github.com/rcompton/ml…
Tensorflow
Source: github.com/aymericdami…
Pytorch
Source: github.com/bfortuner/p…
Mathematics If you want to understand machine learning, you’ll need a thorough understanding of statistics (especially probability), linear algebra, and some calculus. I minored in math as an undergraduate, but I really need to brush up. These cheat sheets provide most of the math you need to know behind machine learning algorithms.
The probability of
Source: www.wzchen.com/s/probabili…
Linear algebra
Source: minireference.com/static/tuto…
statistical
Source: web.mit.edu/~csvoss/Pub…
Differential and integral calculus
Source: tutorial.math.lamar.edu/getfile.asp…