Hadoop is an excellent tool for analyzing large data sets, but it lacks an easy-to-use graphical interface. RapidMiner is an excellent tool for data analytics, but its data size is limited by the memory available, and a single machine is often not enough to run the analyses on time. In this project, we combine the strengths of both projects and provide a RapidMiner extension for editing and running ETL, data analytics and machine learning processes over Hadoop.
Posts Tagged ‘Machine Learning’
Radoop
Monday, July 25th, 2011Google Predict Empowering Applications
Saturday, May 21st, 2011The Google Prediction API allows you to tap into Google’s machine learning algorithms that crunch data and give your possible outcomes, thereby helping you make your applications smarter.
Features
- Lightweight RESTful API.
- Asynchronous training.
- Automatically selects from several available machine learning techniques.
- Supported inputs: numeric data and unstructured text.
- Outputs hundreds of discrete categories, or continuous values.
- Gallery of pre-trained prediction models.
- Ability to add new training data on the fly.
- Accessible from many platforms: Google App Engine, Apps Script (Google Spreadsheets), web & desktop apps, and command line.
Read More: http://code.google.com/apis/predict/
Humans vs Machine @ Jeopardy
Wednesday, February 23rd, 2011MIT Media Lab Spinout Bluefin Labs
Wednesday, February 23rd, 2011Bluefin empowers brands, agencies, and media companies with unprecedented insights about how audiences are responding to TV ads and the shows they run on. Using deep machine learning born from MIT research, Bluefin technology aligns social media comments to their televised source—in real time and at scale.
The company was founded by Deb Roy and Michael Fleischman based on their research at the MIT Media Lab. Roy is a tenured professor at MIT who has pioneered research on human communication using massive data sets and cognitive modeling. He has taken leave from MIT to head up Bluefin.
[ Read More]

