A brief introduction to machine learning, going over some typical algorithms, as well as some resources

1. Predictive Analytics and
Machine Learning 101
Poya Manouchehri
@PoyaManouchehri
NEUROMINE

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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

15. Neuron
Neuron
Neuron

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

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21. Output
Input

22. Error

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29. • GOOGLE PREDICTION API
• AZURE ML
• NEUROMINE
• BIGML
• WISE.IO
• ALGORITHMS.IO
• INFER.COM

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