We’ve all seen the ads that use predictive analytics to tell us when a particular product will be a hit or not.
But we haven’t seen the best examples of the kind of predictive optimization engines that are used to do the heavy lifting.
We’re hoping to find out more about how these techniques work, and how they can help you make the most of your existing tools.
The key to this story is that predictive analytics are a huge part of the work being done in machine learning.
They’re often used to help you predict what a company’s customers will buy, which will help you improve the sales experience for your competitors.
And they’re used to find and predict the next product trend in the market, so you can plan ahead and make the right investments.
This story was originally published on October 6, 2018.