Van Horn and Perona open with a brilliant one-liner: the world is long-tailed

Van Horn and Perona open with a brilliant one-liner: the world is long-tailed. The diagram above shows analysis from Deep Learning Analytics, the #2 team placing in the iNaturalist 2018 competition. Part of that challenge was how many of the classes to be learned had few data points for training. That condition is much more “real world” than the famed ImageNet – with an average of ~500 instances per class – which helped make “deep learning” a popular phrase. The aforementioned sea change from Lange, Jonas, et al., addresses the problem of reducing data demands. I can make an educated guess that your enterprise ML use cases resemble iNaturalist more than ImageNet, and we need to find ways to produce effective models which don’t require enormous labeled data sets. — https://blog.dominodatalab.com/themes-and-conferences-per-pacoid-episode-2/
    Next → → At AI SF, Mehdi Miremadi from McKinsey Global Institute corroborated in “Have we reached peak human? The impact of AI on the workforce”: economic ← Previous → These days with fast commodity networking, the economics of cloud services don’t resemble “commodity servers” circa early Hadoop at all https://blog.dominodatalab.com/themes-and-conferences-per-pacoid-episode-2/
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