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Domino: Datascience-as-a-Service

by Michael Hausenblas on  Mar 11, 2014

Domino, a Platform-as-a-Service for data science, enables people to do analytical work using languages such as Python or R in the cloud (EC2).

Spark Officially Graduates From Apache Incubator

by Alex Giamas on  Feb 28, 2014

Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.

New Education Opportunities for Data Scientists

by Charles Menguy on  Jan 14, 2014

2013 has been rich in announcements for new programs, degrees and grants for aspiring data scientists and Big Data practitioners.

An Introduction to Neural Networks Using C#

by Jeff Martin on  Jul 09, 2013 1

Neural networks have long been an interesting field of research for exploring concepts in machine learning (otherwise known as artificial intelligence). Dr James McCaffrey of Microsoft Research recently gave an introduction to neural networks for those looking to learn more about them in an engaging talk that includes working demo code.

Concurrent Releases Pattern, a Machine Learning DSL for Hadoop

by Boris Lublinsky on  May 20, 2013

Concurrent, Inc., the enterprise Big Data application platform company, today announced Pattern, a machine learning based on an industry standard called PMML which allows analytics frameworks such as SAS, R, Microstrategy, Oracle, etc., to export predictive models and run them on Hadoop clusters

Trends in the latest Technology Radar

by Aslan Brooke on  Jan 18, 2013 8

ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.

Blog Sentiment Analysis Using NoSQL Techniques

by Srini Penchikala on  Dec 28, 2011 7

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.

MIT introduces Oracle for Object-Oriented Programmers

by Michael Stal on  Oct 07, 2011

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.

Ravi Kannan receives ACM SIGACT Knuth Price 2011

by Michael Stal on  Apr 29, 2011 2

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.

Revolution Analytics - Commercializing R for Statistics

by Ron Bodkin on  Feb 08, 2011

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.

Mahout 0.3: Open Source Machine Learning

by Gilad Manor on  Apr 19, 2010 1

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.

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