Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Rise Of Large Database Models
 Originally published in Forbes Even as large language models have...
3 Predictions For Predictive AI In 2025
 Originally published in Forbes GenAI’s complementary sibling, predictive AI, makes...
The Quant’s Dilemma: Subjectivity In Predictive AI’s Value
 Originally published in Forbes This is the third of a...
To Deploy Predictive AI, You Must Navigate These Tradeoffs
 Originally published in Forbes This is the second of a...
SHARE THIS:

8 years ago
Are Random Variables a Fact of Life in Predictive Models?

 In some of the more recent literature, discussion has ensued about the use of pure random or noise variables that end up as key variables in predictive models. In our big data environment with millions of records and thousands of variables, intuitively one might think that random or spurious variables might be a normal outcome in many models. As a data miner, I am always intrigued by fellow colleagues who arrive at certain findings based on their research and work. When considering the validity of these comments, I remember my own experiences in building hundreds of models over

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.