“Teams from all over the world competed to build the best video recommender system for Netflix. As the competition progressed, teams found that they obtained the best results by combining their learners with other teams’, and merged into larger and larger teams. The winner and runner up were both sta…”— Pedro Domingos, homes.cs.washington.eduTagged: Multiplicity of Learners = More Consciousness, Learning Stacks, Netflix
“Learners can be divided into two major types: those whose representation has a fixed size, like linear classifiers, and those whose representation can grow with the data, like decision trees.”— Pedro Domingos, homes.cs.washington.eduTagged: Machine Learning, Types of Learners
“As a rule of thumb, a dumb algorithm with lots and lots of data beats a clever one with modest amounts of it.”— Pedro Domingos, homes.cs.washington.eduTagged: Metadata, Machine Learning, Data Science, Metadata is the Answer, Dumb But Right Enough
“Every learner must embody some knowledge or assumptions beyond the data it’s given in order to generalize beyond it.”— Pedro Domingos, homes.cs.washington.eduTagged: Machine Learning, Learning