Philosophy of Data Science review for big-data analytics
Goal: A short essay about Philosophy of Data Science. It's time to shake up the ancient scientific model from the 17th century, which I think is responsible for the current deadlock of big data analytics. The key points in which my GT new model departs from the old one are (a) Induction through rules, (b) Substantiation of rules, (c) Different method for sampling. My guide in this (ad)venture is Prof. Joseph Agassi - a long time warrior of science logics against technocracy.
Methods: Data Mining, Philosophy of Science
Date: 30 July 2016
- Dec 2019
- Sep 2018
- Many systems include explicit or implicit result-cause variables.
- The cyclic (oscillation) effect may take a shape of vibrations, internal resonance, waves, fluctuations, economic bubble cycle etc.