Nov 05

Tim O’Reilly has created a list for Forbes of the 7 most powerful data scientists…

  1. Eric Schmidt
  2. Jeff Hammerbacher, DJ Patil
  3. Sebastian Thrun, Peter Norvig
  4. Elizabeth Warren
  5. Todd Park
  6. Alex “Sandy” Pentland
  7. Hod Lipson, Michael Schmidt
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Nov 04

We’ve written about Kaggle before, but here’s a new post from the New York Times about the site and some new funding they’ve received.

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Oct 29

ReportGrid offers an API to report or visualize anything running as SaaS. There are some examples of what ReportGrid’s Visualization Engine can do. Prices start at $50 per month. Check out the
TheNextWeb
article.

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Oct 29

Here’s a presentation about music recommendation and discovery.

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Oct 29

Here’s a great video of Adam Mosseri, a designer from Facebook, talking about how Facebook uses data in the design decision making process.



And here’s a recap of the talk from Kissmetrics.

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Oct 27

Before you start looking for new tools to help in your analytics, check out what you can already do with Microsoft Office. All Analytics helps with some tips.

Oct 18

Tidemark is a new company in the business intelligence – analytics space just coming out of stealth and announcing a big chunk of funding.

Check out the articles from ZDNet, Techcrunch, and Venture Beat. Marketwatch has an article abotu Tidemark’s partnership with Cloudera.

Oct 15

Manning Publications has recently completed their book, Mahout in Action. The book covers three main areas: 1) Collaborative Filtering, 2) Clustering, 3) Classification. Here’s a review of the book from DZone.





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Oct 13

Agriculture company, Monsanto, is using BigCouch to manage its genome sequencing analysis. BigCouch is the commercialized version of the Apache CouchDB from Cloudant. Check out the Silicon Angle article.

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Oct 11

The New York Times Technology blog article features a company founded by a couple ex-Googlers called Climate Corporation. Their company is built on making use of the free data published by the National Weather Service. They started by using the data to sell insurance to companies dependent on the weather like farmers and ski resorts. They’ve expanded their data sources and now focus more on the agriculture market.

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