Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
ML in the Spotlight: Trailblazers with Walter Isaacson Covers Predictive Analytics
 Predictive analytics got another public spotlight and Machine Learning Times Executive...
ChapGPT Doesn’t “Know” But It Can Tell
  Polanyi’s paradox, named in honor of the philosopher...
Take the 2023 Rexer Analytics Data Science Survey Now
  Rexer Analytics and Machine Learning Week launch 2023...
Three Ethical Issues Related to Credit Scores
 A reasonable credit score and its accompanying benefits provide...
SHARE THIS:

9 months ago
A Refresher on Continuous Versus Discrete Input Variables

 How many times have I heard that the most critical element in predictive analytics is the data? Don’t misunderstand what I am saying. Method counts as well. But if there is a choice between better data or more methods, you can be sure that a data scientist would favor the richness of a data set. Data comes in different formats. But we are able to classify data into two types- continuous and discrete. Bottom line is, if a variable can assume any value between its minimum and maximum value, then it is called a continuous variable. Much of

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.