Book

The Master Algorithm

: How the Quest for the Ultimate Learning Machine Will Remake Our World

"Wonderfully erudite, humorous, and easy to read." --KDNuggets In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledg

(12 total)

Characters

Pedro Domingos (12)

“Everything is connected, but not directly.”

— Pedro Domingos, amazon.com

Tagged: Connectionism, Relationalism, Conditional Dependence

“Learning a Naïve Bayes classifier is just a matter of counting how many times each attribute co-occurs with each class”

— Pedro Domingos, amazon.com

Tagged: Naïve Bayes, How to Teach A Naïve Bayes Classifier

“You don’t need to understand the details of the message; it’s enough to get the gist of it by seeing which words it contains.”

— Pedro Domingos, amazon.com

Tagged: Dumb But Right Enough, Reductionism, Reading, When Simple Works, Defeating The Complexity Monster

“Someday there’ll be a robot in every house, doing the dishes, making the beds, even looking after the children while the parents work.”

— Pedro Domingos, amazon.com

Tagged: Robots, Future Predictions, Artificial intelligence, Computer Science, Robots Will Take Care of Us?

“Machine learning will bring about not just a new era of civilization, but a new stage in the evolution of life on Earth.”

— Pedro Domingos, amazon.com

Tagged: Machine Learning, Evolution of Civilization, Artificial intelligence, Brand New World (Of Learning Machines), Future Predictions

“Machine learning takes many different forms and goes by many different names: pattern recognition, statistical modeling, data mining, knowledge discovery, predictive analytics, data science, adaptive systems, self-organizing systems, and more.”

— Pedro Domingos, amazon.com

Tagged: Machine Learning, Artificial intelligence, Computer Science, Knowledge Bases, Statistical Modeling

“In general, the more rules and facts we start out with, the more opportunities we have to induce new rules using ‘inverse deduction.’ And the more rules we induce, the more rules we can induce. It’s a virtuous circle of knowledge creation, limited only by overfitting risk and computational cost.”

— Pedro Domingos, amazon.com

Tagged: Metadata is the Answer, Induction, Machine Learning

“If you try to come up with a set of rules that makes an exception, you’ll probably wind up with a worse answer than if you’d just ignored it. Learning a set of rules that gets [hyper-contextual instances] right is actually counterproductive: you’re better off ‘misclassifying’ it.”

— Pedro Domingos, amazon.com

Tagged: Smart Enough, Data Science, Machine Learning, Rule-Based Learning, If You Can't Do It Right (Do It Wrong)

“It’s even been said that data mining means torturing the data until it confesses.”

— Pedro Domingos, amazon.com

Tagged: Pattern Recognition, Data Hallucination, Data Mining, Statistical Subjectivity, Bias

“Overfitting happens when you have too many hypotheses and not enough data to tell them apart.”

— Pedro Domingos, amazon.com

Tagged: Machine Learning, Overfitting

“In ordinary life, bias is a pejorative word: preconceived notions are bad. But in machine learning, preconceived notions are indispensable.”

— Pedro Domingos, amazon.com

Tagged: Stupid Is Better Than Smart, Machine Learning, Go Basic

“Every algorithm, no matter how complex, can be reduced to just these three operations: AND, OR, and NOT.”

— Pedro Domingos, amazon.com

Tagged: Three Is The Number