Causation vs. Correlation

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• How to Quantize Neural Networks with TensorFlow | Pete Warden
• 8-Bit Quantization and TensorFlow Lite: Speeding up mobile inference with low precision | Manas Sahni

One of the most basic tenants of statistics is that correlation does not imply causation. In turn, a signal’s predictive power does not necessarily imply in any way that that signal is actually related to or explains the phenomena being predicted. This distinction matters when it comes to machine learning because many of the strongest signals these algorithms pick up in their training data are not actually related to the thing being measured. A Reminder That Machine Learning Is About Correlations Not Causation | Kalev Leetaru - Forbes