STT - Enhancing Analytics with Qlik Predict with Q&A

[Troy_Raney]

This Techspert Talks session covers:

• How ML Experiments work
• Real World Predictive use cases
• Time Series

Chapters:

1. 01:33 - Machine Learning Modules
2. 02:45 - Dashboard overview
3. 03:38 - Predictive Analytics demo
4. 07:26 - How to build a predictive model
5. 11:52 - Predictive Analytics Life Cycle
6. 13:26 - Time Series explained
7. 14:49 - Data prep methods
8. 15:37 - Time Series demo
9. 20:13 – Summary
10. 21:22 - Q&A: Is Predict an ML experiment?
11. 22:04 - Q&A: Where is there some demo data?
12. 22:42 - Q&A: How much data is needed to predict?
13. 23:31 - Q&A: Is there a Time Series tutorial?
14. 24:01 - Q&A: Training data vs Prediction input?
15. 24:52 - Q&A: Is Deep Learning supported?
16. 25:36 - Q&A: What is data drift?
17. 26:48 - Q&A: How many models are allowed?
18. 27:35 - Q&A: When is Time Series available?
19. 27:53 - Q&A: What help is there to get started?

Resources:

• Machine learning with Qlik Predict
• Tutorial – Generating and visualizing prediction data
• Tutorial – Predicting sales with multivariate time series forecasting
• Qlik AI Certification Exam Prep

[F_B]

Thanks for sharing