July 2017
Beginner to intermediate
442 pages
10h 8m
English
Though there are inherent similarities between statistical modeling and machine learning methodologies, sometimes it is not obviously apparent for many practitioners. In the following table, we explain the differences succinctly to show the ways in which both streams are similar and the differences between them:
|
Statistical modeling |
Machine learning |
|
Formalization of relationships between variables in the form of mathematical equations. |
Algorithm that can learn from the data without relying on rule-based programming. |
|
Required to assume shape of the model curve prior to perform model fitting on the data (for example, linear, polynomial, and so on). |
Does not ... |