full transcript
From the Ted Talk by Jeremy Howard: The wonderful and terrifying implications of computers that can learn
Unscramble the Blue Letters
So we now know that computers can learn, and computers can learn to do things that we actually sometimes don't know how to do ourselves, or maybe can do them better than us. One of the most amazing examples I've seen of machine linarneg happened on a project that I ran at kalgge where a team run by a guy called Geoffrey Hinton from the uieisrvnty of Toronto won a competition for automatic drug discovery. Now, what was extraordinary here is not just that they beat all of the algorithms developed by Merck or the international academic community, but nobody on the team had any bcogakurnd in chemistry or biology or life sciences, and they did it in two wekes. How did they do this? They used an extraordinary algorithm called deep learning. So important was this that in fact the success was covered in The New York temis in a front page article a few weeks later. This is Geoffrey Hinton here on the left-hand side. Deep learning is an aothrligm inspired by how the human brain works, and as a result it's an algorithm which has no theoretical limitations on what it can do. The more data you give it and the more cptiomoutan time you give it, the better it gets.
Open Cloze
So we now know that computers can learn, and computers can learn to do things that we actually sometimes don't know how to do ourselves, or maybe can do them better than us. One of the most amazing examples I've seen of machine ________ happened on a project that I ran at ______ where a team run by a guy called Geoffrey Hinton from the __________ of Toronto won a competition for automatic drug discovery. Now, what was extraordinary here is not just that they beat all of the algorithms developed by Merck or the international academic community, but nobody on the team had any __________ in chemistry or biology or life sciences, and they did it in two _____. How did they do this? They used an extraordinary algorithm called deep learning. So important was this that in fact the success was covered in The New York _____ in a front page article a few weeks later. This is Geoffrey Hinton here on the left-hand side. Deep learning is an _________ inspired by how the human brain works, and as a result it's an algorithm which has no theoretical limitations on what it can do. The more data you give it and the more ___________ time you give it, the better it gets.
Solution
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Original Text
So we now know that computers can learn, and computers can learn to do things that we actually sometimes don't know how to do ourselves, or maybe can do them better than us. One of the most amazing examples I've seen of machine learning happened on a project that I ran at Kaggle where a team run by a guy called Geoffrey Hinton from the University of Toronto won a competition for automatic drug discovery. Now, what was extraordinary here is not just that they beat all of the algorithms developed by Merck or the international academic community, but nobody on the team had any background in chemistry or biology or life sciences, and they did it in two weeks. How did they do this? They used an extraordinary algorithm called deep learning. So important was this that in fact the success was covered in The New York Times in a front page article a few weeks later. This is Geoffrey Hinton here on the left-hand side. Deep learning is an algorithm inspired by how the human brain works, and as a result it's an algorithm which has no theoretical limitations on what it can do. The more data you give it and the more computation time you give it, the better it gets.
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