When to Use Different ML Algorithms

Stefan Franczuk explains the different categories of machine learning algorithms available in Talend:

Clustering is the task of grouping together a set of objects in such a way, that objects in the same group are more similar to each other than to those in other groups. Clustering is really useful for identify separate groups and therefore is used to solve use cases such as “who are my premium customers?”.

Understanding when to use which algorithm is important. You don’t want to build out the world’s best regression if your benefactors are asking for a classifier.

Related Posts

Python and R Data Reshaping

John Mount takes us through a couple of data shaping packages: The advantages of data_algebra and cdata are: – The user specifies their desired transform declaratively by example and in data. What one does is: work an example, and then write down what you want (we have a tutorial on this here).– The transform systems can print what a transform is going to […]

Read More

Exploratory Data Analysis with ExPanDaR

Joachim Gassen walks us through the ExPanDaR package in R: The ‘ExPanDaR’ package offers a toolbox for interactive exploratory data analysis (EDA). You can read more about it here. The ‘ExPanD’ shiny app allows you to customize your analysis to some extent but often you might want to continue and extend your analysis with additional models […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

September 2019
MTWTFSS
« Aug  
 1
2345678
9101112131415
16171819202122
23242526272829
30