Zusammenfassungen
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 discoverythe scientific method on steroidsthat 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 first 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 learnerthe Master Algorithmand discusses what it means for you, and for the future of business, science, and society.
If data-ism is today’s rising philosophy, this book will be ist 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 ist forefront.
Von Klappentext im Buch The Master Algorithm (2015) Machine learning is the automation of discoverythe scientific method on steroidsthat 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 first 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 learnerthe Master Algorithmand discusses what it means for you, and for the future of business, science, and society.
If data-ism is today’s rising philosophy, this book will be ist 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 ist forefront.
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Zitate im Buch
Scientists make theories, and engineers make devices. Computer scientists make algorithms, which are both theories and devices.
Von Pedro Domingos im Buch The Master Algorithm (2015) im Text The Machine-Learning Revolution
Vorträge von Beat mit Bezug
Zitationsgraph
5 Erwähnungen 
- Mehr als 0 und 1 - Schule in einer digitalisierten Welt (Beat Döbeli Honegger) (2016)
- There is a blind spot in AI research (Kate Crawford, Ryan Calo) (2016)
- Wir zählen nicht nur bis eins - Künstliche Intelligenz im Kontext (Dirk Baecker) (2018)
- Engines of Order - A Mechanology of Algorithmic Techniques (Bernhard Rieder) (2020)
- Künstliche Intelligenz und der Sinn des Lebens - Ein Essay (Richard David Precht) (2020)
Co-zitierte Bücher

Wie Algorithmen Wissen, Arbeit, Öffentlichkeit und Politik verändern, ohne dabei viel Lärm zu machen
(Mercedes Bunz) (2012)


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Beat und dieses Buch
Beat hat dieses Buch während seiner Zeit am Institut für Medien und Schule (IMS) ins Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. (das er aber aus Urheberrechtsgründen nicht einfach weitergeben darf). Es gibt bisher nur wenige Objekte im Biblionetz, die dieses Werk zitieren. Beat hat dieses Buch auch schon in Vorträgen erwähnt.