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The Master Algorithm

Unabridged Audiobook

Written By: Pedro Domingos

Narrated By: Mel Foster

Publisher: Brilliance Audio

Date: September 2015

Duration: 13 hours 4 minutes

Summary:

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us; manage our investments; and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.

Machine learning is the automation of discovery-the scientific method on steroids. It enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field's leading lights, lifts the veil for the fi rst time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning's five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step-by-step, he assembles a blueprint for the future universal learner-the Master Algorithm-and discusses what it means for you, and for the future of business, science, and society.

If data-ism is today's rising philosophy, this audiobook will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book, The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront.

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  • Walker Stipe

    Awesome. Not too tough to understand and not too basic to be useless. Fascinating read

Master Algorithm

by Pedro Domingos

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Master Algorithm, Pedro Domingos