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aking, they are the best learners in the universe. Much of the process of turning data into theories happens before we are five. Since Aristotle and Plato, there have been two basic ways of addressing the problem of how we know what we know, and they are still the main approaches in machine learning. Ar
ke with different colors of algae, so it’s a very dramatic straight line. There’s a road in Australia that’s long and straight. There’s a railroad in Siberia that’s long, and lights go on when a train stops at the stations. So from space you can see straight lines and patterns. But are these clear enough
aking, they are the best learners in the universe. Much of the process of turning data into theories happens before we are five. Since Aristotle and Plato, there have been two basic ways of addressing the problem of how we know what we know, and they are still the main approaches in machine learning. Ar
ke with different colors of algae, so it’s a very dramatic straight line. There’s a road in Australia that’s long and straight. There’s a railroad in Siberia that’s long, and lights go on when a train stops at the stations. So from space you can see straight lines and patterns. But are these clear enough
but the spin will not be flipped. Thus, in the mirror a left-handed particle will turn into a right-handed particle. (And so, if the poor souls in Plato's cave had had mirrors, they might have felt less strange about the shadows of arrows flipping direction.) This working picture of left-handed par
ortant experiments, using simple approaches that yielded immediate results. After an "involuntary vacation" of five years, as a prisoner of war in Siberia during the First World War, Bothe returned and built a remark- able collaboration with Geiger, eventually succeeding him as director of the laborato
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