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MLbase: A User-friendly System for Distributed Machine Learning. Machine learning (ML) and statistical techniques are key to transforming big data into actionable knowledge. In spite of the modern primacy of data, the complexity of existing ML algorithms is often overwhelming-many users do not understand the trade-offs and challenges of parameterizing and choosing between different learning techniques. Furthermore, existing scalable systems that support machine learning are typically not accessible to ML researchers without a strong background in distributed systems and low-level primitives.

"With a redesigned fully distributed API, HDFS integration and a wide range of new machine learning toolkits, GraphLab is now faster, more scalable, and more powerful than ever before."

"is a framework for supervised Machine Learning in OWL, RDF and Description Logics."

Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.

"Search 575918 machine learning experiments on 88 datasets and 271 implementations"

"Using AI, computer vision, machine learning and natural language processing, Diffbot provides developers numerous tools to understand and extract from any web page."