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Post by arfangkseo on Dec 24, 2023 3:15:47 GMT -5
An emblematic example is that of COMPAS correctional offender management profiling for alternative sanctions an algorithm that makes it possible to calculate the probability of recidivism of a defendant with respect to certain crimes. Unfortunately the COMPAS judgments were driven by bias towards black people the number of false positives for these individuals was twice as many as for Caucasian defendants. In the case of COMPAS as in many other cases it is not the software that is defective the algorithm works very well. The problem is the quality of the data that is fed to the Country Email List machine and that feeds the deep learning processes. Back to index Ranking of the best types of data to use in AI marketing Not all data is created equal . The type of format in which the data is available determines how easily it can be given to machine learning software for processing. In particular depending on the format the data can be more or less structured . when it is organized in an orderly manner it can be arranged in rows and columns and it is possible to create relational databases between them. On the other hand however unstructured data is not organized in an orderly and schematic wayknowing the sector and the competition is necessary to understand where the product can be positioned and what is the space to cover what are the solutions required by the market but which may not yet have been launched and therefore represent a free space in which to act.
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