MACHINE LEARNING CAPABILITIES FOR MOBILE APPS
Ignacio Fuentes
Twitter @ignacioafuentes
Github: ignaciofuentes
Machine Learning is:
a way to give “computers the ability to learn without being explicitly programmed.”
Why
Old concept
New implications
- Product Personalization
- Loyalty Programs
- Next Best Offer
- Customer Churn
- Fraud Detection
- Insurance Pricing
- Stock Trading
Wield this power or it will wield you
install a ton of surveillance cameras
get really good at ml-powered facial recognition
match faces to IDs
monitor emotions...and manipulate them
invisibly track location
Scary uses of ML
What
Machine Learning
"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.” (Tom Mitchell, 1997).
How to make a machine learn*
Gather a lot of data (text,images, sounds)
Divide that data into a training set and a test set
- The training set is categorized (sorted by hand or by machine)
- The test set is uncategorized
Use an algorithm to train a model with the training set by pairing input with expected output
Use the test set to test the accuracy of the training
rinse & repeat
Machine Learning is Easy!
DIY Machine Learning is hard
you need a lot of firepower & skillz
Let's leverage the cloud!
Let's build something!
NativeScript is…
an open source framework for building truly native mobile apps with JavaScript. Use web skills, like TypeScript, Angular, Vue, and CSS, and get native UI and performance on iOS and Android.
1
Rich, animated, “no compromise” native UI
(with shared UI code)
Search for
“Examples NativeScript”
in the iOS App Store or Google Play to try this app out for yourself.
2
Maximum code and skill reusability
Architecture Choices
or
