Euclid - Breakthrough analytics for offline retail Probability and Statistics Cookbook | Matthias Vallentin The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations. Download Last updated: January 24, 2014 Language: english The LaTeX source code is available on github and comes with a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To reproduce in a different context, please contact me. The cookbook aims to be language agnostic and factors out its textual elements into a separate dictionary. The current translation setup is heavily geared to Roman languages, as this was the easiest way to begin with. Here are the 3 most recent entries of the changelog file (for all versions of the cookbook): 2014-01-24 Matthias Vallentin <vallentin@icir.org> * Fix wrong denominator in alternative CLT representations.
Project Daytona: Iterative MapReduce on Windows Azure Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named Daytona. Project Daytona is designed to support a wide class of data analytics and machine-learning algorithms. It can scale to hundreds of server cores for analysis of distributed data. Project Daytona was developed as part of the eXtreme Computing Group’s Cloud Research Engagement Initiative. News On July 26, 2011, we released an updated Daytona community technical preview (CTP) that contains fixes that are related to scalability. Overview Project Daytona on Window Azure is now available, along with a deployment guide, developer and user documentation, and code samples for both data analysis algorithms and client application. Included in the CTP Refresh (July 26, 2011) This refresh to the Daytona CTP contains the following enhancments: Included in the CTP Release (July 18, 2011) About Project Daytona
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