June 2020
Intermediate to advanced
382 pages
11h 39m
English
Content preview from 40 Algorithms Every Programmer Should Know
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Inconclusive evidence
The data that is used to train a machine learning algorithm may not have conclusive evidence. For example, in clinical trials, the effectiveness of a drug may not be proven due to the limited available evidence. Similarly, there may be limited inconclusive evidence that a certain postal code in a certain city is more likely to be involved in fraud. We should be careful when we are judging our decision-making based on the mathematical patterns found through algorithms using this limited data.
Decisions that are based on inconclusive evidence are prone to lead to unjustified actions.