Category Archives: Machine Learning

Data Science Dead in 5 Years or Less?

Justin B. Dickerson just published an article with the above title (without a question mark): “Did I get your attention? I hope so because we’re facing a significant problem in the data science market that no one is talking about.” … Continue reading

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Machine Learning Yearning

Andrew Ng is regularly updating a draft of his book “ML Yearning“. “Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working … Continue reading

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NYT Interview with Benjamin Grosof

New Your Times published an interview with Benjamin Grosof, a leading AI expert and a frequent presenter at RuleML+RR and DecisionCAMP.  While deep learning comes from the statistical side of AI, the interview brings attention to non-deep learning tools such as Prolog, a programming language … Continue reading

Posted in Artificial Intelligence, Machine Learning, Semantic Web | Leave a comment

Custom R charts coming to Excel

This week at the BUILD conference, Microsoft announced that Power BI custom visuals will soon be available as charts with Excel. You’ll be able to choose a range of data within an Excel workbook, and pass those data to one of the … Continue reading

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Let the AI Benchmarking Wars Begin

On May 2, 2018 a diverse group from academia and industry – Google, Baidu, Intel, AMD, Harvard, and Stanford among them – released MLPerf, a nascent benchmarking tool “for measuring the speed of machine learning software and hardware.” The hope is … Continue reading

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Detecting cancer in real-time with machine learning

Google Research this week revealed an AR microscope (ARM) capable of detecting cancerous cells in real-time with the help of machine learning. Locating cancer with a standard microscope is a difficult and time-consuming process, with a raft of information for doctors to … Continue reading

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Open the Machine Learning Black Box with Rule-based Decision Automation

Francis Friedlander from IBM just published an article with this title. In particular, it says: “Machine learning is best in class to derive customer insight from customer data. Rules consume customer insight and are best in class to make justified … Continue reading

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