There are many different ways to build a recommendation engine and most will combine multiple techniques or approaches. In this article, I want to cover just one approach, association rules, which are fairly easy to understand and require minimal skills in mathematics. If you can work with simple percentages, there’s nothing more complex than that here.
The rewards of big data can be compelling. At the same time, you'll want to consider machine learning challenges before you start your own project. In this article, we cover challenges which include addressing the skills gap, knowing how to manage your data, and operationalizing your data.
Within machine learning, there are several techniques you can use to analyze your data. Today I’m going to walk you through some common ones so you have a good foundation for understanding what’s going on in that much-hyped machine learning world.
Many times I'm asked for more information on how to get started with Oracle’s Machine Learning and Advanced Analytics. I put together this simple guide of the most popular and useful, in my opinion, links to product Information and getting started links and resources.
We’re going to take you behind the scenes and give you a layman’s view of machine learning so you can see what kind of problems they can solve. But this article is designed for technical people who hear the buzzword, who know that it's something important, but don't really know what it is or what it can do.