InfoQ Homepage Machine Learning Content on InfoQ
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Trends in the latest Technology Radar
ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.
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Blog Sentiment Analysis Using NoSQL Techniques
Corporations are increasingly using social media to learn more about what their customers are saying about their products. This presents unique challenges as unstructured content needs analytic techniques to interpret the sentiment embodied in the blog posts. InfoQ caught up with Subramanian Kartik to learn more about the blog sentiment analysis project his team worked on.
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MIT introduces Oracle for Object-Oriented Programmers
In a recent news article the Massachusetts Institute of Technology has introduced a technology for automatically remembering connections between objects. The provided system determines how objects in a large software project interact, so it can inform latecomers which objects they will need to design certain types of functions.
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Ravi Kannan receives ACM SIGACT Knuth Price 2011
Ravi Kannan from Microsoft Research has been appointed winner of the ACM SIGACT's (Special Interest Group on Algorithms and Computation Theory) Knuth Price 2011. According to the press announcement he receives the price for his work on influential algorithic techniques aimed at solving long-standing computational problems.
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Revolution Analytics - Commercializing R for Statistics
InfoQ interviewed David Smith, VP of Community for Revolution Analytics at the Strata big data conference. Revolution provides commercial extensions for the open source R statistics package and announced the R Enterprise v4.2 Suite along with offering tools to help SAS users to migrate to R.
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Mahout 0.3: Open Source Machine Learning
The need for machine-learning techniques like clustering, collaborative filtering, and categorization has steadily increased the last decade along with the number of solutions needing quick and efficient algorithms to transform vast amounts of raw data into relevant information. Apache Mount 0.3 has been announced on March, adding more functionality, stability and performance.