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New Machine Learning Cheat Sheet by Emily Barry

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she loves is data science. The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time. So, she decided to marry these two loves in as productive a fashion as possible.

This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.

A step-by-step guide for this sheet: 

  • Learning Styles
  • Regressions
  • Classification
  • Clustering
  • The Curse of Dimensionality
  • Our * Wildcard * Section

Check out all this information, here. For more articles about machine learning, click here. For other cheat sheets, click here

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Comment by Anuar Imanbayev on July 11, 2016 at 1:26pm

Neat and useful ML + Emoji graphic! One typo on "Principle Component Analysis" should be "Principal Component Analysis"

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