“If you are always trying to be normal, you will never know how amazing you can be.”
Leek, Caffo, Peng (Executive Data Science on Coursera)
The master has failed more times than the beginner has even tried.
Two definitions of Machine Learning
Arthur Samuels in 1959 described machine learning as the field of study that gives computers the ability to learn without being explicitly programmed.
Tom Mitchell of Carnegie Mellon, in 1998, described machine learning as a “well-posed learning problem,” in which a computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
Charles M. Schulz
If you want to get to the source, you must swim against the current.
Two questions I find useful, when making decisions:
What am I optimizing for?
Everyone you will ever meet knows something you don’t.