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Posted: May 11th, 2022
How do you form good analyses from faulty, biased and unreliable data and methods?
Enterprise & Finance
Please make solely concise (150 phrase or a lot much less), vital suggestions. Posts which could be devoid of great contribution. The goal is to find and assess concepts, methods and vital analysis topics in a tough however collaborative
ambiance.
DB matter– How do you kind good analyses from faulty, biased and unreliable information and methods?
Throughout the earlier dialogue we dealt with algorithms, fashions, AI and machines sometimes, taking up many roles in the end. Machines are good at some points, nevertheless not at points requiring mature judgment, contextual nuance, synthesis, and experiential finesse, would possibly we’re saying. Machines and fashions ARE TOOLS.
Method is completed further inside the qualitative realm of the latter areas of judgment, finesse, nuance and synthesis than inside the realm of points machines do successfully.
Worse, method is regarding the FUTURE and every machines and the general public are literally harmful at forecasting the long term. My proof consists of the failure of every machines and most individuals (some obtained it) to forecast 1) the election of President Trump (not Mrs. Clinton), 2) the BREXIT vote, three) the 2007 monetary collapse, which was missed by about 40,000 fashions and some thousand “specialists” queried by the Wall Highway Journal…amongst further totally different situations than I care to say.
That notion takes us to this week’s DISCUSSION BOARD TOPIC =
HOW CAN YOU FORM GOOD ANALYSES WHEN YOU TYPICALLY HAVE BIASED AND LIMITED DATA (SOMEONE CREATED THE DATA FOR WHAT PURPOSE YOU USUALLY DO NOT KNOW) AND UNRELIABLE MODELS (WHICH WERE ALSO CREATED WITH BUILT IN BIASES AND FOR PURPOSES YOU MAY OR MAY NOT KNOW)? Talk about methods you ought to use to kind good analyses and subsequently good method in this kind of world.
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