This is
what predictive analysis offers you.
Not exact matches
You look at a lot of
predictive analysis,
what factor do you think is the most worrisome right now that points to a crisis?
In the next decade, molecular research is going to further develop along five lines:
predictive medicine, that investigates the genetic conditions predisposing to tumor risk; early molecular diagnosis; the evaluation of each patient's prognosis based on his / her genetic profile, in other words, the
analysis of
what kind of mutation affects the DNA of altered cells; the investigation of the individual response to drugs, based on our genetic knowledge; «smart drugs», molecules able to hit the target in a selective way, killing only the deprogrammed cells.»
Statistical
analysis is conducted using current and historical credit data to determine
what's
predictive of future credit behavior.
The cats and dogs in the long tail of the distribution deserve further
analysis, since understanding
what features are
predictive of a long wait for a new home might lead to new strategies for accelerating their adoptions.
Recommendations for verification are: 1) comparison to other models 2) degenerate tests 3) event validity 4) extreme event validity 5) extreme condition tests 6) «face» validity tests 7) fixed value tests 8) historical data validation 9) internal validity (stochastic runs) 10) multistage validation 11) parameter variability - sensitivity
analysis 12)
predictive validation 13) traces 14) turing tests (i didn't know
what this is so googled ECWMF turing test, and i got 150 hits)
Predictive analytics is akin to a baseball pitcher using
analysis to determine how an opposing batter performs in certain situations and then deciding
what pitch to throw.
With the rise of artificially intelligent systems and the explosion in data volume, the opportunity and expectation is for AI to do more of
what current knowledge managers do, as well as exceed them with more complex
predictive analysis.
The Recruitment landscape paralleling itself with the evolution of web has moved from Recruitment 1.o to now
what is called «Recruitment 5.0» with
predictive analysis, artificial intelligence, augmented reality, gamification, etc. having taken over the traditional recruitment methods.