Machine Learning, Artificial Intelligence, Python, Statistics, Mathematics.
reproduce what happens when we deal with real data, so let’s pretend our data are a little more messy. For example, let’s pretend that our data are disturbed by a gaussian noise: def t(r): return [stats.norm.rvs(loc=f(x), scale=0.1, size=1).tolist()[0] for x in r] Real data t(x) We would like to