AI in Marketing, Sales and Service by Peter Gentsch

Author:Peter Gentsch
Language: eng
Format: epub
ISBN: 9783319899572
Publisher: Springer International Publishing

5.1.9 Prediction Per Deep Learning

Deep learning is a subject that is causing quite a stir at the moment. In principle, it is a branch of machine learning that uses algorithms to recognise objects, for example, and understand human speech. The technology is in principle a revival of algorithms , that were popular from the beginnings of AI : Neuronal networks . Neuronal networks are a simulation of the processes in the brain whereby neurons and the specific fire patterns are imitated. The real innovation is the layering of various neuronal networks which, in combination with the essentially greater performance of current computers, led to a quantum leap in diverse sectors of machine learning .

The classifier for the prediction learns a generic DNA on the basis of profiling the successful customer relations, which is projected onto the entire company’s assets. The prediction of the optima leads can be understood as a ranking problem. The lead with the highest probability of a conversion should be in first place in the sales pipeline. In principle, it can be understood as a classic regression task where the probability of conversion is to be predicted. Thus highly suitable is a gradient boosted regression tree, also called random forest.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.