As I have stated in previous articles, the most difficult challenge in building predictive models is the creation of the analytical file. Typically, this comprises between 80%-90% of the data scientist’s time with 10%-20% comprising the actual run or runs of the different mathematical/statistical algorithms. In the creation of the analytical file, the two elements
In my last article, I discussed the increasing impact of automation on business and the displacement of jobs. With artificial intelligence looming as the ultimate disruptor, the overall theme of job displacement has shifted more towards knowledge-intensive...
Artificial intelligence seems to be the latest term which is capturing the not only the predictive analytics discipline’s attention but the general public as well as seen by the many articles in much of the mainstream media....
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