Difference between revisions of "Power of data"

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=The notion of counter-factuals=
=The notion of counter-factuals=
Data content may not be correct, but noise and lies included, reveal certain qualities and quantities of the realistic context of data collection. For more explainations on counter-factuals, see Judea Pearls work on causation<ref>{{:Book/Causal}}</ref>.
Data content may not be correct, but noise and lies included, reveal certain qualities and quantities of the realistic context of data collection. For more explainations on counter-factuals, see Judea Pearls work on causation<ref>{{:Book/Causality:models, reasoning, and inference}}</ref>.
 
=References=
<references/>

Revision as of 01:24, 19 February 2022

The power of data comes from its embedded information content that has the potential to reveal truth. Even a set of badly encoded data, could reveal information about its source in ways that are not always intuitive from shallow observations.

The notion of counter-factuals

Data content may not be correct, but noise and lies included, reveal certain qualities and quantities of the realistic context of data collection. For more explainations on counter-factuals, see Judea Pearls work on causation[1].

References

  1. Pearl, Judea (2000). Causality:models, reasoning, and inference. local page: Cambridge University Press. ISBN 978-0-521-77362-1.