Some of the solutions offered by predictive analytics to business intelligence are customer segmentation, risk assessment, churn prevention...
Data mining is being widely used in the health field. Several solutions in this field are presented here such us medical diagnosis and microarray analysis.
Here you can find some predictive analytics solutions which are being applied to science and engineering. Some of them are output prediction, predictive maintenance, fault detection, etc.
This tutorial shows a brief introduction to the principal concepts of neural networks which is the most important technique for machine learning.
This section explains the basic components of Neural Designer and provides some tips to begin using the software with a basic example.
In this tutorial we give some guidelines in order to import a data file for being analyzed with Neural Designer.
This extract gives some guidelines in order to import a database for being analyzed with Neural Designer.
Here all the data set, neural network, performance measure and training strategy tasks are listed. The parameters and outcomes of each task are also explained in detail.
This FAQ tries to answer those questions about Neural Designer which are commonly asked by the users of the application.