With cloud-native machine learning, author Noah Gift says the core foundation of the cloud allows an enterprise to leverage the operational expertise of the cloud provider and the system automation of the machine learning system.
Data exchange (sharing and compiling data) between industries is on the rise, meaning this trend is set to continue. The sharing of this intelligence represents an opportunity for some companies to better understand their audiences and improve customer experience, and for others to unlock new revenue streams.
Making a success of big data analytics is a bit like constructing a skyscraper. Foundations need to be laid and the land prepared for construction, or else the building will rest on shaky ground. Download your free book, "Driving Growth & Innovation with Big Data" The success of any analytics project depends on the quality and relevance of the data it’s built upon. The issue today is that companies collect an exponentially large volume and variety of information in many...
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.