Articles by Learning Machines

Intuition for principal component analysis (PCA)

December 6, 2018 | Learning Machines

Principal component analysis (PCA) is a dimension-reduction method that can be used to reduce a large set of (often correlated) variables into a smaller set of (uncorrelated) variables, called principal components, which still contain most of the information. PCA is a concept that is traditionally hard to grasp so instead ... [Read more...]

Why R for data science – and not Python?

December 2, 2018 | Learning Machines

There are literally hundreds of programming languages out there, e.g. the whole alphabet of one letter programming languages is taken. In the area of data science there are two big contenders: R and Python. Now why is this blog about R and not Python? I have to make a ... [Read more...]

OneR – fascinating insights through simple rules

November 25, 2018 | Learning Machines

We already saw the power of the OneR package in the preceding post. Here we want to give some more examples to gain some fascinating, often counter-intuitive, insights. Shirin Glander of Muenster University tested the OneR package with data from the World Happiness Report to find out what makes people ... [Read more...]

OneR – fascinating insights through simple rules

November 24, 2018 | Learning Machines

We already saw the power of the OneR package in the preceding post. Here we want to give some more examples to gain some fascinating, often counter-intuitive, insights. Shirin Glander of Muenster University tested the OneR package with data from the World Happiness Report to find out what makes people ... [Read more...]
1 4 5 6

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)