Machine learning mastery
What exactly is machine learning? Generally accepted definition puts machine learning into the realm of computer science and says it’s the subfield dedicated to empowering machines to learn on their own.
Sounds complicated? It kind of is, and then it’s not.
Think you need machines mining data and predicting things for you? Get in touch, we can help validate your assumptions and then develop the solution.
Why would you need machines learning?
The buzz and excitement around machine learning is worth every sound and letter constituting it. In the connected world that is our home today, we collect vast, enormous volumes of data, and without proper processing this data is useless. But when you have a sorting through this data…
- You find causes for this or that event, those you may have not even thought of;
- you get predictions of, say, future actions and preferences of your app’s users and can act on those predictions;
- you know that the picture is always whole, not a single data point goes to waste.
Let’s say you have a user base of several thousand people.
They use your service, app and web-based. Aiming to upsell, you want to know when is the best time to offer this or that related service to this or that user.
Without machine learning, you would have to go the trial and error path and finally come up with some results that, well, are better than other.
With machine learning, you feed the data and have a predictive analytics dataset as the output, one which segments your audience and tells exactly when and what you should offer to this and that customer.