Home Forums Python Programming Talks Difference between Machine Learning and Statistical Modelling

This topic contains 0 replies, has 1 voice, and was last updated by  blogger rajeev 7 months, 1 week ago.

Viewing 1 post (of 1 total)
  • Author
  • #644

    blogger rajeev

    These are some of the Differences to note which i gathered from “Machine Learning with Python” course from Cognitiveclass.ai.

    [1] For instance, in machine learning, fewer assumptions are made, due to a better accuracy from the predictive models, in comparison to statistical modelling which is more mathematically
    [2] Machine Learning is a subfield of Computer Science and uses algorithms, while Statistical
    Modelling is a subfield of Mathematics and uses equations.
    [3] One of the main things that makes machine learning useful is that it also works well with large sets of data, whereas statistical modelling has a hard time doing so.
    Machine learning provides strong predictive ability with minimal human effort, while statistical modelling provides the best estimate and more human effort.

Viewing 1 post (of 1 total)

You must be logged in to reply to this topic.