Great list of resources: data science, visualization, machine learning, big data
Fantastic resource created by Andrea Motosi. I've only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, including a few on distributed systems and Hadoop. Click here to view the 31 categories. You might also want to check our our our internal resources (the first section below). Train Convolutional Neural Networks (or ordinary ones) in your browser Decider: Flexible and Extensible Machine Learning in Ruby Etsy Conjecture: scalable Machine Learning in Scalding Google Sibyl: System for Large Scale Machine Learning at Google H2O: statistical, machine learning and math runtime for Hadoop MLbase: distributed machine learning libraries for the BDAS stack MLPNeuralNet: Fast multilayer perceptron neural network library for iOS and Mac OS X nupic: Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms PredictionIO: machine learning server buit on Hadoop, Mahout and Cascading scikit-learn: scikit-learn: machine learning in Python Spark MLlib: a Spark implementation of some common machine learning (ML) functionality Sparkling Water: combine H2OÕs Machine Learning capabilities with the power of the Spark platform Vahara: Machine learning and natural language processing with Apache Pig Viv: global platform that enables developers to plug into and create an intelligent, conversational interface to anything Vowpal Wabbit: learning system sponsored by Microsoft and Yahoo!
Dec-19-2016, 03:15:43 GMT