Data, not algorithms, is key to machine learning success – Version One

4 March 2016
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…while the thesis of data over algorithms is true for most machine learning applications, there are two scenarios in which algorithms are very important: a) situations with limited data in which you try to learn the most in minimum time with minimum data and b) very complex data (e.g. computer vision applications). In both scenarios, deep learning algorithms can make a significant difference.

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