Machine learning

On wikipedia you find: "Machine learning is a scientific/engineering discipline that deals with the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. Machine learning can be considered a subfield of computer science and statistics. It has strong ties to artificial intelligence and optimization, which deliver methods, theory and application domains to the field."

Machine learning classification algorithms (like logistic regression, decision trees, random forest, ...) can be used in many cases. They can, for example, be integrated with your e-commerce site, decide if a buyer will or will not buy something during his websession and therefore decide where to direct the user after he has put something in his shopping cart: back to the shop when you predict that he will buy something more or to the check-out page when he is less likely to buy more.

Classification algorithms do not have to be used to answer yes-or-no answers. They could also be used to classify items in multiple subjects. For example they can be used for automatic e-mail directing: based on text mining, a classifier can identify the topics of incoming mail to your general company mail-address and redirect it to the correct employee handling this topic.

Clustering algorithms (like k-means clustering, hierarchical clustering, ...) group items in similar clusters. These techniques can be used for customer segmentation in order to help you decide which segments of your customers to target with certain adds or even which advertising channel to use to reach out the best to these customers.

Recommendation algorithms (like a-priori, fp-growth,...) can decide which ads to show on your website or in an e-mail to which user based on the known user-preferences and the behavior of similar users. It is also a powerful tool for more cross selling to your customers.

These are just a few examples that show the broad potential of Machine Learning techniques. We're more than happy to show you how we can tailor these techniques for your business.

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