Mean Squared Error

Type: Concept

As of November 2026, Mean Squared Error has been mentioned in 3 episodes across 2 podcasts, first heard Oct 2018 on Real Engineering. Mean square error is highlighted as a common loss function for regression tasks, measuring the average squared difference between predicted and actual values.

In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator measures the average of the squares of the errors—that is, the average squared difference between the estimated values and the true value. MSE is a risk function, corresponding to the expected value of the squared error loss. The fact that MSE is almost always strictly positive is because of randomness or because the estimator does not account for information that could produce a more accurate estimate.

Mean Squared Error at a glance
Mentioned in3 episodes on 2 podcasts (as of November 2026)
First heardOct 2018 on Real Engineering
FieldStatistics
DomainMachine Learning

What do podcasts say about Mean Squared Error?

3 quotes from Unknown (Real Engineering narrator/host), recorded on Carnegie Mellon University Deep Learning and Real Engineering.

How do different shows talk about Mean Squared Error?

2 shows discussed Mean Squared Error in these episodes; Carnegie Mellon University Deep Learning leans favorable.

Who talks about Mean Squared Error on podcasts?

Unknown (Real Engineering narrator/host) brought up Mean Squared Error; the most recent mention was Jan 2026 on Carnegie Mellon University Deep Learning.

What is Mean Squared Error mentioned alongside?

Mean Squared Error is most often mentioned alongside Good Will Hunting, Uber and Brilliant.

Mentioned together: Good Will Hunting, Uber, Brilliant, Robin Williams, Minnie Driver, Google Maps, Artificial Neural Network, Machine Learning, Gradient Descent, Real Engineering