This week, we dive deep into machine learning. ML's near-human performance masks some really strange issues, because ML logic is not like our Earth logic.
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Since the concept of “machines learning” was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company mus
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Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have launched two research projects to do just that.
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Since modern machine learning is really only a few years old, now is the ideal time to bridge the technical gap and teach yourself the language of machine learning.
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HP Inc. uses Anaplan and machine learning to make substantial improvements in its sales quota planning process.
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SAP has expanded its Leonardo Machine Learning capabilities, making it easier for companies to leverage the next-generation technology.
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Yangqing Jia, director of engineering for Facebook's AI platform team, on the changing field of machine learning.
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DataCamp has a simple, yet approachable curriculum for learning new statistical skills
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Advice from those with years of experience, from Facebook's chief of engineering to Intuit's chief data officer.
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