12 Statistical and Machine Learning Methods that Every Data Scientist Should Know

12 Statistical and #MachineLearning Methods that Every #DataScientist Should Know:  #abdsc

  • There have been not a few lists of “representative methods in data science” ever.
  • Below is my personal list of statistical and machine learning methods that every data scientist should know in 2016.
  • I feel some of them are already out-of-date because they appear to neglect the latest advance of data science in the industry.
  • From my experience in the data science industry for 4 years, I think that currently these 12 methods are the most popular, useful and suitable for various problems requiring data science.
  • In addition to the list itself, I showed R or Python scripts of an experiment on sample datasets for each method, in order to enable readers to try it easily.

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@KirkDBorne: “12 Statistical and #MachineLearning Methods that Every #DataScientist Should Know: #abdsc”


Below is my personal list of statistical and machine learning methods that every data scientist should know in 2016.

Statistical Hypothesis Testing (t-test, cā€¦


12 Statistical and Machine Learning Methods that Every Data Scientist Should Know