This Techspert Talks session addresses:
- How to get started
- Making API calls
- Using Predictive Analysis
- 00:56 - What is AutoML?
- 01:31 - Iris demo intro
- 02:46 - Demo working AutoML Iris app
- 04:40 - How to setup data for AutoML
- 10:06 - ML Model Management
- 11:18 - How to add AutoML to a Sense App
- 13:56 - Prediction Analysis in a KPI object
- 15:19 - Batch predictions
- 16:35 - HR Promotion Analysis
- 18:00 - Additional Resources
- 19:00 - Q&A: Can the experiment data set be updated?
- 19:58 - Q&A: Is AutoML free?
- 20:36 - Q&A: What is the data size limit?
- 21:17 - Q&A: Can I choose my own index?
- 22:05 - Q&A: Is AutoML on for Qlik Cloud?
- 22:20 - Q&A: What data sources can be used?
- 22:52 - Q&A: Does AutoML work with Snowflake?
- 23:59 - Q&A: How to troubleshoot a connection error?
- 24:20 - Q&A: How do you schedule an the predictions?
- 24:43 - Q&A: Where can we find more documentation?
Resources:
How To Get Started with Qlik AutoML
AutoML Hands On Tutorial
Qlik AutoML Demonstration Overview
Introduction to Qlik AutoML (Learning.Qlik.com)
Machine learning with Qlik AutoML (Help.Qlik.com)
Qlik AutoML on Qlik Cloud - sample data
Qlik Continuous Classroom AutoML courses
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