You name it; if there's good historical data, a trained AI model can help.

All you need to do is when you're done typing the formula, instead of pressing Enter, press Ctrl+Shift+Enter. On the Mac, you use Command+Return.

And quantifying the forecast uncertainty by creating prediction intervals is invaluable and often ignored in the forecasting world.

Using k-means clustering, you can find the best segments and then try to understand why they're the best segments.

AI is useful across nearly any industry you can think of. Your credit card company uses it to identify odd transactions on your account. The enemy in your shoot-em-up Xbox game runs on AI. There's e-mail spam filtering, tax fraud detection, spelling auto-correction, and friend recommendation on social networks.

Artificial intelligence is making waves these days for its use at tech companies and start-ups. Optimization, on the other hand, seems to be more of a Fortune 500 business practice.

You'll be going over a type of ensemble model called bagged decision stumps, which is very close to an approach used constantly in industry called the random forest model.

You have to be smart about pulling relevant predictors out of the dataset.

So whether we're talking sending coupons in the mail, approving loans, or dropping bombs, the balance you strike between these performance metrics is a strategic decision. Comparing One Model