Category Archives: Machine Learning
Google’s RankBrain Outranks the Best Brains in the Industry
Bloomberg recently broke the news that Google is “turning its lucrative Web search over to AI machines.” Google revealed to the reporter that for the past few months, a very large fraction of the millions of search queries Google responds … Continue reading
Posted in AI, Machine Learning
Tagged Amazon, deep learning, Facebook, IBM, search, twitter
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Google: Machine Learning and Deep Neural Networks Explained (Video)
[youtube https://www.youtube.com/watch?v=bHvf7Tagt18?rel=0] *Greg and Chris did an AMA on Friday, September 25th to answer people’s deep learning questions. Check out their answers here: https://goo.gl/jpbMy9 *To read more about machine learning, neural nets, and the like – check out the Google … Continue reading
John Markoff on automation, jobs, Deep Learning and AI limitations
My sense, after spending two or three years working on this, is that it’s a much more nuanced situation than the alarmists seem to believe. Brynjolfsson and McAfee, and Martin Ford, and Jaron Lanier have all written about the rapid … Continue reading
Posted in AI, deep learning, Machine Learning
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Oren Etzioni on Building Intelligent Machines
[youtube https://www.youtube.com/watch?v=E_6AZ8slivc?rel=0] “There are more things in AI than classification… the entire paradigm of classification, which has fueled machine learning and data mining, is very limited… What we need is a process that is structured, multi-layered, knowledge-intensive, much more like … Continue reading
Posted in AI, Machine Learning
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Josh Wills on Machine Learning in a Business Setting
[youtube https://www.youtube.com/watch?v=IgfRdDjLxe0?rel=0] Academic machine learning is all about optimization. Machine learning in a business setting is all about understanding: “My focus is always on how do I understand what the system is doing, come up with new hypotheses about this … Continue reading
Posted in Data Science, Data Scientists, Machine Learning
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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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