predictive analytics and machine learning 101
TRANSCRIPT
Predictive Analytics and Machine Learning 101Poya Manouchehri@PoyaManouchehri
NEUROMINE
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TEMPERATURE IS LOW
IT IS OVERCAST
IT RAINED YESTERDAY
IT WILL RAIN TODAY
ModelIndependent
Variable
Dependent
Variable
Data
(Independent and
Dependant Variables)
Training Model
• EYES EXIST
• NUMBER OF LEGS
• FURRINESS
OUTPUT:
• CAT, PERSON, CHAIR, OTHER
• YES, 4, FURRY CAT
• YES, 2, NOT FURRY PERSON
• NO, 2, NOT FURRY OTHER
• …
4<4 >4
Number of Legs
Other
Furry Not Furry
Cat
Furriness
Chair
Yes
Eyes Exist
No
Other
Person
Neuron
Neuron
Neuron
Actual
Input 1 Input 2 Output
0 0 0
0 1 1
1 0 1
1 1 0
0.0
0
0.1
0
0.2
0
0.3
0
0.4
0
0.5
0
0.6
0
0.7
0
0.8
0
0.9
0
1.0
0
0.00
0.20
0.40
0.60
0.80
1.00
1.20
0.000.10
0.200.30
0.400.50
0.600.70
0.800.90
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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Output
Input
Error
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• GOOGLE PREDICTION API
• AZURE ML
• NEUROMINE
• BIGML
• WISE.IO
• ALGORITHMS.IO
• INFER.COM
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