We had an American Statistical Association workshop for the local Southern California chapter recently. The speaker for the workshop mentioned he had to often c

We had an American Statistical Association workshop for the local Southern California chapter recently. The speaker for the workshop mentioned he had to often change Logistic regression wikipedia page back to statistic technique from Machine Learning because people keep on changing it to ML. At the same time ASA have release their 2019 report about data science and the cross road statistic is at. It's an interesting intersection ML/data science & Statistic is having at this point. https://www.amstat.org/ASA/News/Statistics-at-a-Crossroads-Recommendations-Are-Released.aspx https://www.amstat.org/ASA/News/Statistics-at-a-Crossroads-R... The report also give statistic version of their definition of statistic vs machine learning and what each field emphasize on. I think often people are just really unclear on statistic and ML field because they never sat down to think about the what define each field. It also end up getting political and people being defensive. But I think at least this report give a statistic view point.