Sublime

If we had copious data, drawn from a perfectly representative sample, completely mistake-free, and representing exactly what we’re trying to evaluate, then using the most complex model available would indeed be the best approach.

“If we have enough data, I know we can make predictions,”

The Master Algorithm is the unifier of machine learning: it lets any application use any learner, by abstracting the learners into a common form that is all the applications need to know.

Na verdade, trata-se de entender o que a escolha do navegador revela sobre os hábitos deles.

But over the years, the personalization group started to infringe on the editorial group’s turf. P13N, as it was cleverly abbreviated (there are thirteen letters between the p and the last n in personalization), used analytics and algorithms to generate recommendations crafted to appeal to individual customers based on their previous purchases. Ove

Hal Varian noted this problem in 1995, writing in a paper called “Economic Mechanism Design for Computerized Agents” that “to function effectively, a computerized agent has to know a lot about its owner’s preferences: e.g., his maximum willingness-to-pay for a good. But if the seller of a good can learn the buyer’s willingness-to-pay, he can make t

Bernardo Huberman's research group at Hewlett-Packard developed a scheme that first asked each person to bet on what everyone else was going to say.`° This "common knowledge" was then discounted, since it was obviously being counted more than once.

Some knowledge is straightforward to represent; a lot