Guide Concept

This project will introduce ThingWorx Analytics Builder.

Following the steps in this guide, you will create an analytical model, and then refine it based on further information from the Analytics platform.

We will teach you how to determine whether or not a model is accurate and how you can optimize both your data inputs and the model itself.

Guide Info

Level Intermediate
Est. Time 60 Minutes
Published May 09, 2019
Author Jason Wyatt

You'll learn how to

    • Load an IoT dataset
    • Generate machine learning predictions
    • Evaluate the analytics output to gain insight
Register to Start Guide

Things used in this guide

Environment:

This guide may be completed in any environment in which you have access to both ThingWorx Foundation and Analytics.

This includes both the hosted evaluation server, as well as a combination of both the Foundation and Analytics Server downloadable, self-hosted trials.

Software components:
Previous knowledge:

BUILD A PREDICTIVE ANALYTICS MODEL

Outline
  • Step 1: Scenario
  • Step 2: Settings
  • Step 3: Upload Data
  • Step 4: Signals
  • Step 5: Profiles
  • Step 6: Create Model
  • Step 7: Refine Model
  • Step 8: Next Steps

This guide is part of a Learning Path. We've curated other guides relevant to this one to help you learn and get up to speed as quickly as possible.
Learning Path
7 Units
390 Minutes
Your Status: Not Started
Learning Path Overview
Design and Implement Data Models to Enable Predictive Analytics

Design and implement your data model, create logic, and operationalize an analytics model.

In This Learning Path
0% Complete
0% Complete
0% Complete
0% Complete
0% Complete
0% Complete
We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.