38 Quotes by Pedro Domingos

Our search for the Master Algorithm is complicated, but also enlivened, by the rival schools of thought that exist within machine learning. The main ones are the symbolists, connectionists, evolutionaries, Bayesians, and analogizers. Each tribe has a set of core beliefs, and a particular problem that it cares most about. It has found a solution to that problem, based on ideas from its allied fields of science, and it has a master algorithm that embodies it.

All knowledge - past, present, and future - can be derived from data by a single, universal learning algorithm.

[T]he greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.

Columbus was not the first person to discover America, but the last.

Noise in machine learning just means errors in the data, or random events that you can’t predict.

Our beliefs are based on our experience, which gives us a very incomplete picture of the world, and it’s easy to jump to false conclusions.

Believe it or not, every algorithm, no matter how complex, can be reduced to just these three operations: AND, OR, and NOT.

Machine learning will not single-handedly determine the future, any more than any other technology; it’s what we decide to do with it that counts, and now you have the tools to decide.

Learning algorithms are the seeds, data is the soil, and the learned programs are the grown plants. The machine-learning expert is like a farmer, sowing the seeds, irrigating and fertilizing the soil, and keeping an eye on the health of the crop but otherwise staying out of the way.