February 2018
Intermediate to advanced
378 pages
10h 14m
English
Content preview from Machine Learning with Swift
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Digital signal processing (DSP)
This category includes tasks where input data types are signals, time series, and audio. The sources of the data are sensors, HealthKit, microphone, wearable devices (for example, Apple Watch, or brain-computer interfaces), and IoT devices. Examples of ML problems here include:
- Motion sensor data classification for activity recognition
- Speech recognition and synthesis
- Music recognition and synthesis
- Biological signals (ECG, EEG, and hand tremor) analysis
We will build a motion recognition app in Chapter 3, K-Nearest Neighbors Classifier.
Strictly speaking, image processing is also a subdomain of DSP but let's not be too meticulous here.
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