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发表于 2025-3-21 20:16:43
Hans-Peter Nissenmobile app development.Illustrates the techniques by means oThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider a
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Hans-Peter Nissenmobile app development.Illustrates the techniques by means oThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider a
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发表于 2025-3-22 10:59:38
Hans-Peter Nissenmobile app development.Illustrates the techniques by means oThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider a
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Hans-Peter Nissenmobile app development.Illustrates the techniques by means oThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider a
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Hans-Peter Nissenmobile app development.Illustrates the techniques by means oThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider a
Notorious
发表于 2025-3-22 21:37:40
Hans-Peter Nissenbetween hunger states. The pre-processing segment describes the features of the data sets obtained by means of image processing. The method includes the simple moving average (SMA), downsizing factors, dynamic time warping (DTW) and clustering by the .-means method. This is to rationally assign the
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