Neural Networks 2: Machine Learning = Feature Engineering

2016 4:59
Synopsis
Victor Lavrenko explains that effective machine learning relies on proper data representation. Support Vector Machines learn effective weights, but only with the right feature engineering. This lecture explores converting diverse data, like audio waveforms or images, into suitable feature sets for optimal learning.
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