Category Archives: Machine Learning
Machines vs. Models, Noise vs. Signal
An excerpt from Nassim Taleb’s forthcoming book, Antifragile, was posted yesterday on the Farnam Street blog. In “Noise and Signal,” Taleb says that “In business and economic decision-making, data causes severe side effects —data is now plentiful thanks to connectivity; … Continue reading
Posted in AI, Big Data Analytics, Machine Learning
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Domain Expertise vs. Machine Learning: The Debate Continues
“The startup’s three co-founders have backgrounds in engineering and data science, but not weather, and there are no meteorological models involved. By keeping weather predictions within a two-hour window, they believe statistics are sufficient.”–Mashable in “Can Statistics Predict Weather Without Meteorologists? … Continue reading
Posted in Data Science, Machine Learning, Statistics
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Domain Expertise vs. Machine Learning: The Debate Continues
By starting to rank all the data scientists participating in its competitions, Kaggle today advanced further its argument that data science is a generic set of skills that can be applied to any problem without prior domain expertise. Talking to … Continue reading
Posted in Data Scientists, Machine Learning
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