Building Intelligent Applications€¦ · Building Intelligent Applications A webinar about the...
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Building Intelligent Applications A webinar about the convergence of data science and application development. DATE: January 30, 2018 HOSTS: Paul Laberge, Darryl Dutton, Lindsay Brin
Transcript of Building Intelligent Applications€¦ · Building Intelligent Applications A webinar about the...
Building Intelligent ApplicationsA webinar about the convergence of data science and application development.
DATE: January 30, 2018HOSTS: Paul Laberge, Darryl Dutton, Lindsay Brin
Hello. Nice to meet you.
Darryl [email protected]
Lindsay [email protected]
1996Founded
10yGreat Place to Work
220Employees
5Offices
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Data is ingested from many places…
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Divide of data inside the organization…
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Data Scientists & Developers
divided…
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• Data Preparation (Collecting, Cleaning, Consolidating)
• Datasets (Training, Testing)
• Exploratory Data Analysis
• Modeling
• Visualization
• Data ‘Storytelling’
• Software & Languages: Python, R , SAS or others
• Iterative: Question, Exploration, Question, Exploration…
Data Science Today
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• Mobile, Web & Other Clients
• Microservices Backends
• Different Storage Options
• Cloud
• DevOps
• Methodology/Process
• Web APIs
Software Development Today
Devs know web services!
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Data Scientists vs. Developers
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Data Scientists vs. Developers
NotMath!
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Data Scientists vs. Developers
Monty Python's flying circus http://gypsyastronaut.tumblr.com/post/31680358165
Monty Python’s Holy Grail https://fogsmoviereviews.wordpress.com/2012/06/24/movies-that-everyone-should-see-monty-python-and-the-holy-grail/
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Let’s Bring Them Together
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Let’s show a fun demo- using faces
…because IOT Data is boring and it is not a hotdog
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Service Fabric
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Web APIService
FaceService
StorageService
PythonContainer
AzureFace API
AzureStorage
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The Technology Choices
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The Model (Multiclass Classification: Random Forest)
TARGETFEATURES
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prn
enen exex
alal
chch
ls
li
{ "mouthLeft": { "x": 103.1, "y": 133.3 },"mouthRight": { "x": 153.8, "y": 133.3 },"pupilLeft": { "x": 105, "y": 89.9 },"pupilRight": { "x": 151.9, "y": 91.3 },"underLipBottom": { "x": 127.7, "y": 143},"underLipTop": { "x": 127.9,"y": 139.2 },"upperLipBottom": { "x": 127.3, "y": 134.5},"upperLipTop": { "x": 127.6, "y": 131.3 }
}
The Features
n
prn
enen exex
alal
chch
ls
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n-prn
n-ls
ls-li
IPD
en-en
ex-ex
al-al
Indices
Intercanthal-Nasal Width: en-en/al-al * 100
Nose-mouth Width: al-al/ch-ch * 100
Mouth Width: ch-ch/ex-ex * 100
Intercanthal: en-en/ex-ex * 100
Nasal: al-al/n-prn * 100
Lip: ls-li/ch-ch * 100
Linear Measurements
n-ls: Nasion-upperliptop length
ls-li: Upperliptop-underlipbottom
IPD: Interpupillary width
en-en: Intercanthal width
ex-ex: Biocular width
ch-ch: Mouth width
n-prn: Nasal length
al-al: Nose width
All measurements standardized to size of the face
The Features
The Training Data
Show me the code
Questions?
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• Darryl Dutton, Principal [email protected]
• Lindsay Brin, Data [email protected]
• Prashant Chopra, Developer
• Aqeb Hamdan, Developer
• Rickey Pannell, Innovation Strategist
• Ryan Quigley, UX Design
The T4G Team
Ready to Build Brilliant?We’re always looking for new challenges and teammates.
Connect with [email protected]
