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The State Of Machine Learning in iOS 13

The State Of Machine Learning in iOS 13

Apple's Machine Learning ecosystem is getting more and more powerful every year. This talk:

- takes a look back to Apple's Machine Learning history all the way to the modern days
- highlights best uses of Machine Learning within iOS, Apple apps, and third party apps
- helps developers getting started adapting Machine Learning in their own apps

30 minutes talk.

Federico Zanetello

November 19, 2019
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Transcript

  1. The State Of
    Machine Learning
    in iOS 13
    Federico Zanetello
    ★★★★★ fivestars.blog • @zntfdr

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  2. WWDC 2017
    4 videos, ~150 minutes
    WWDC 2018
    7 videos, ~250 minutes
    WWDC 2019
    15 videos, ~400 minutes

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  3. AI ➡ Software ➡ World

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  4. Vision
    Face detection
    Face features detection
    Text, bar code, shape detection
    Object tracking
    Image classification
    Object detection
    Attention image saliency
    Objectness image saliency
    Image similarity

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  5. Natural
    Language
    Sentiment Analysis
    Word Tagging
    Word Embedding
    Text Classification
    Translation

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  6. Speech &
    SoundAnalysis
    Speech recognition (live or prerecorded)
    Transcriptions
    Alternative interpretations
    Over 50 languages supported
    Jitter, shimmer analysis
    Pitch, voicing analysis
    Sound classification

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  7. On-device
    Training

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  8. Examples?
    FaceID
    iOS Keyboard & QuickType
    Photos.app
    Hey Siri & Siri
    Watch
    Maps.app
    Store.app
    Safari.app
    ARKit

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  9. Credits &
    Resources
    developer.apple.com/machine-learning
    developer.apple.com/documentation/createml
    github.com/apple/turicreate
    github.com/apple/coremltools
    developer.apple.com/design/human-interface-guidelines/machine-learning
    techinsights.com
    developer.apple.com/videos/all-videos

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  10. The State Of
    Machine Learning
    in iOS 13
    Federico Zanetello
    ★★★★★ fivestars.blog • @zntfdr

    View full-size slide