From the course: Executive Guide to Predictive Modeling Strategy at Scale

Unlock the full course today

Join today to access over 24,900 courses taught by industry experts.

Slow algorithms: More calculations

Slow algorithms: More calculations

From the course: Executive Guide to Predictive Modeling Strategy at Scale

Start my 1-month free trial Buy for my team

Slow algorithms: More calculations

“

- [Instructor] The second reason that some algorithms are much slower than others is some algorithms just perform more calculations. Let's take a look. This is an artificial neural network that's been built on the same data set. All we're trying to do is predict whether or not an expectant mom will have a low birth weight baby. Now, artificial neural networks get quite technical, but take a look. I just want you to attend to the very large number of lines. If we were using a statistically-based approach, we've only got three variables here, weight of the mom, uterine irritability, and hypertension. A statistical approach would only do four calculations, one per variable and what's called the constant, but the point is there would only be four. But look at all these lines, many, many more, so the neural net is doing many more calculations. That makes it more accurate, but it makes it slower. Over here, we've got six times…

Contents