September 2018
Intermediate to advanced
412 pages
11h 12m
English
We can take the machine learning one step further and, if we can also track the outcomes that happen after an alert/anomaly is generated and use that as a training set to the machine learning algorithm, then we gain the ability to prescribe a number of different possible actions or recommendations as guidance for the solution. In a nut-shell, we are training these analytics to provide us with recommendations on possible courses of action. Prescriptive analytics attempts to use the past outcomes or actions of the users to provide recommendations to help with the actual decisions.
Prescriptive analytics uses many of familiar tools such as data aggregation, machine learning, and business rules ...