Apple makes it really easy to get started with Machine Learning as a developer. See how you can easily use Create ML and Turi Create to train Machine Learning models and use them in your iOS apps.
8. Regression
Predict a number, e.g. house prices
Which Regression should you use?
• Logistic Regression
• Boosted Trees Regression
• Random Forest Regression
• Decision Tree Regression
• …
???
weight, price
9. Let the framework
choose the best
Regression for you!
The framework
analyzes the data and
chooses the best
model automatically.
Nevertheless it is still possible
to use a MLLogisticRegression,
MLRandomForestRegression,
MLBoostedTreesRegression ...
Model can be saved with on line of code and
used in Xcode later.
18. Turi Create
Python Framework
Mission statement:
You don't have to be a machine learning expert to add
recommendations, object detection, image
classification, image similarity or activity classification
to your app.
20. Turi Create
Very easy to train
machine learning
models as a developer.
No math involved, no
tuning of parameters for
the model needed, high
abstraction level, Python
coding is readable even if
you don’t know Python,
model can be exported to
be used in Xcode.
SFrame is a tabular data
structure which can
also contain images
25. Images and annotations have been loaded and trained
with an object detection model (see previous slides).
Afterwards the model was loaded and used to inspect the
shown pictures. The model can also be exported to be
used in Xcode.