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Predictive Analytics and Machine Learning 101
- 1. Predictive Analytics and Machine Learning 101 Poya Manouchehri @PoyaManouchehri NEUROMINE
- 5. • • • •
- 6. • • • •
- 7. TEMPERATURE IS LOW IT IS OVERCAST IT RAINED YESTERDAY IT WILL RAIN TODAY
- 9. Model Independent Variable Dependent Variable
- 11. Data (Independent and Dependant Variables) Training Model
- 12. • EYES EXIST • NUMBER OF LEGS • FURRINESS OUTPUT: • CAT, PERSON, CHAIR, OTHER
- 13. • YES, 4, FURRY CAT • YES, 2, NOT FURRY PERSON • NO, 2, NOT FURRY OTHER • …
- 14. Number of Legs <4 >4 4 Other Furry Not Furry Cat Furriness Chair Yes Eyes Exist No Other Person
- 16. Actual
- 18. Input 1 Input 2 Output 0 0 0 0 1 1 1 0 1 1 1 0
- 19. 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 1.20 1.00 0.80 0.60 0.40 0.20 0.00 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 0.80 0.90 1.00 XOR 0.00-0.20 0.20-0.40 0.40-0.60 0.60-0.80 0.80-1.00 1.00-1.20
- 20. • • •
- 21. Output Input
- 22. Error
- 24. • •
- 25. • • • •
- 26. • • • •
- 27. • • •
- 28. • • • • • •
- 29. • GOOGLE PREDICTION API • AZURE ML • NEUROMINE • BIGML • WISE.IO • ALGORITHMS.IO • INFER.COM
- 30. • • •
Notas del editor
- Inputs: overcast, dark clouds, cold, it rained yesterday Prediction: it’s going to rain today
- Supervised learning
- Unsupervised learning
- Human readable Interaction between properties
- NN not human readable Topology can differ More neurons = more capacity. More neurons = more computational complexity More neurons <> better results
- Topology can differ More neurons = more capacity. More neurons = more computational complexity More neurons <> better results NN not human readable
- Topology can differ More neurons = more capacity. More neurons = more computational complexity More neurons <> better results NN not human readable
- Topology can differ More neurons = more capacity. More neurons = more computational complexity More neurons <> better results NN not human readable