Posts by richardh

Humanizing Big Data

Humanizing Big Data

As suggested by Nathan Yau at FlowingData, I just watch a TED talk by Jer Thorp who works for NY Times as Data Artist in Residence. Amazing talk on the human element of Big Data. Excellent visualizations of Internet interactions. Watch it. It is worth the 17:29. As Nathan summarizes: People often miss this point about data — that it’s a representation of the physical world — and because...

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Stanford Graduate Certificate in Mining Massive Data Sets

Stanford Graduate Certificate in Mining Massive Data Sets

This is not new, but this offering amazes me each time I read its description! The Stanford Center for Professional Development at Stanford University offers a ‘graduate certificate‘ in cutting edge material about Big Data and Data Mining. This is a serious tough sequence of four courses. The cost ranges from $14,000 to $17,000 and will take two years to complete. Shown as follows,...

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Going Too Far with Predictive Analytics?

Going Too Far with Predictive Analytics?

The current issue of KD Nuggets has a poll on “Was Target wrong in using analytics to find pregnant women?”. The New York Times detailed Target’s successful data mining of customer buying patterns to identify pregnant women. There has been a great negative reaction to this story, although there is considerable debate where the Right/Wrong line should be in Target’s...

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Innovation from Cross-Disciplinary Research

Innovation from Cross-Disciplinary Research

From personal experience, I knew that innovative ideas within my discipline often come from research in quite dissimilar disciplines. Michelle Borkin of Harvard University hit that nail squarely, driving it through the 2×4 with this TED talk. She relates medical imaging from MRI scans to astronomy data of distant nebulae. And, then she proceeds from there. Her parting comments is “You...

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Finding Associations in Large Data Sets

While browsing through the latest Scientific American blogs, I found an interesting item on “How to Find Meaning in a Maelstrom of Data”. Well, the article did not live up to the title, but it came close! The blog highlighted the team from MIT and Harvard who authored a research article in Science. An informative video (4:34) is a must-see! Note the short discussion on patterns...

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