This post walks through the steps required to use the “Cloud Numerics” distributed numerical and data analytics library from F#. While the “Cloud Numerics” lab focuses on C#, a few additional setup steps enable you to:
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How do you find similar or related records or documents within a collection of unstructured data or a text corpus? One classical solution to this problem is Latent Semantic Indexing (LSI). In this blog post we’ll walk you through the steps of applying...

Microsoft Codename “Cloud Numerics” is a new .NET® programming framework tailored towards performing numerically-intensive computations on large distributed data sets. It consists of a programming model that exposes the notion of a partitioned or distributed...

The Microsoft Codename “Cloud Numerics” Lab is a numerical and data analytics library for data scientists, quantitative analysts, and others who write data-analytics models in C# and .NET and then want to scale out these solutions on Windows Azure. For...

To get your big-data applications to work, you need to read in the data –but what if your data is too big? What if the dataset you are reading requires more memory than is available on any single machine? This is a common constraint for all disciplines...

This post contains the following topics: Working with Arrays Loading Distributed Data from a File Creating Distributed Arrays from Azure Blobs Accessing Data with LINQ Working with Arrays You can create either dense n-dimensional arrays or distributed...

This post demonstrates how to use Microsoft.Numerics C# API to perform statistical operations on data in Windows Azure blob storage. We go through the steps of loading data using IParallelReader interface, performing distributed statistics operations...