So what were the answers popping in your head ? Random forest, SVM, K means, Knn or even Deep Learning and its variants ?
Now some of you might laugh and say how on earth can you predict so far ahead, predicting things 100 yrs into future is crazy.
What makes you say Regression Will continue to be used in 2118?
Well the answer is Lindy effect. Yes, the heuristic I am using to predict this is Lindy Effect.
Alright next logical question would be what is Lindy Effect?
Wikipedia defines the Lindy effect as follows
The Lindy effect is a concept that the future life expectancy of some non-perishable things like a technology or an idea is proportional to their current age, so that every additional period of survival implies a longer remaining life expectancy.
If a book has been in print for forty years, I can expect it to be in print for another forty years. But, and that is the main difference, if it survives another decade, then it will be expected to be in print another fifty years. This, simply, as a rule, tells you why things that have been around for a long time are not “aging” like persons, but “aging” in reverse. Every year that passes without extinction doubles the additional life expectancy. This is an indicator of some robustness. The robustness of an item is proportional to its life!
Well, because it has survived this long. Regression (method of least squares) as a concept was first invented in the 1800’s by Carl Friedrich Gaussand Adrien-Marie Legendre. They used it to determine the orbital paths of planets and other bodies around the sun.
The word ‘Regression’ was coined by Francis Galton to describe the observation that the taller fathers tend to have relatively shorter sons while shorter fathers tend to have relatively taller sons!!
Okay so quite clearly Regression has been around for more than 200 years already !! so going by the Lindy Effect heuristic it will last another 200 years. So in fact I might be little conservative in saying that Regression will continue to be in use in year 2118.