29 Statistical Concepts Explained in Simple English – Part 12

Author: Vincent Granville

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC.

29 Statistical Concepts Explained in Simple English

Previous editions, in alphabetical order, can be accessed here:

 Part 1 | Part 2 | Part 3 | Part 4 | Part 5 | Part 6 | Part 7 | Part 8 | Part 9 | Part 10 | Part 11

To make sure you keep getting these emails, please add  mail@newsletter.datasciencecentral.com to your address book or whitelist us.  

Go to Source