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by fchollet on 2018-12-16 (UTC).

This is a great answer and I agree -- modelling/science is the hardest (if you want to do it right), and also the most time-consuming due to lengthy iterations. Meanwhile data collection and labelling is the most expensive, and often the most important to the success of a project https://t.co/xViIhZkg2D

— François Chollet (@fchollet) December 16, 2018
misc
by fchollet on 2018-12-17 (UTC).

From the replies: if you're going to start a ML services startup, make it about data collection and labelling. This is main pain point, and where the most value can be unlocked. https://t.co/xywuBgl2sd

— François Chollet (@fchollet) December 17, 2018
misc

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