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Cracking down on cheating and hacking in online multiplayer games remains a main focus for mobile developer Gameloft, creator of franchises such as Modern Combat and Asphalt, product PR manager Thomas Price told Polygon.Speaking with us during a demo of Modern Combat 5: Blackout — the latest addition to the mobile first-person shooter franchise — Price explained that the developer remains committed to making its multiplayer a better experience. This includes keeping an even playing field where everyone can compete fairly.
I know that Machine Learning regression algorithms try to find the function of the data. That is, if we have 1000 data points (x,y), to find a general continuous function that follows the trends of the data and which can provide estimated values y for other x that we do not know their actual value y.But curve fitting doesn't do very similar thing? I mean, yes, we may have a function this time and not only those 1000 points, but it also tries to find a general continuous function that follows the trends of the data.Therefore what is the most actual difference between the two? The algorithms that work for Regression in ML can't they be applied at curve fitting as well?Update 28 Apr 14I am reading and it says that it uses Curve fitting and Regression techniques. What is actually their difference?
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