Tutorials

Pollution tutorial

If you have basic knowledge of standard terms such as "feature", "sample" and "validation set" then you can skip this tutorial.

Shellfish tutorial

In this tutorial you will learn how to solve a function modeling problem. Among other things you will learn how to import data, apply filters, use visualizers, use snippets, train a system and analyze the result.

Police tutorial

In this tutorial you will learn how to solve a classification problem. Among other things you will learn more on data mining through more advanced usage of visualizers, how to customize the data source and the delta terminator blocks.

Finally you'll learn how to deploy a system and integrate the result into an external application.

Beer tutorial

In this tutorial you will learn how to solve a time series prediction problem. Among other things you will learn how to deal with dynamic, temporal data, how to manually design a system from scratch and how to use batch processors to automatically fine-tune the parameters of a system.

Cows tutorial

In this tutorial you will learn the finer points of function modeling in Synapse. Among other things you will learn how to import data over network, use visualizers to locate and remove outliers, how to create your own snippets, how to use different learning algorithms.

You will also learn how to connect the error analyzer to preprocessing to understand where your system makes mistakes, how to get a qualitative understanding of your model though sensitivity analysis and finally how to use the probe to test your system live.