- 47

A scientific library written in managed code. It supports advanced mathematics (algebra system, sequences, statistics, combinatorics...), data structures, sort algorithms...

http://science.codeplex.com/Tags | algebra algorithms analysis cryptography mathematics science |

Implementation | CSharp |

License | Ms-PL |

Platform | Windows |

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization.

scientific scientific-computing mathematicsThe Meta.Numerics math and statistics library supports scientific computing on the .NET platform. It offers an object-oriented API for matrix algebra, advanced functions of real and complex numbers, signal processing, and data analysis.

math numerics ironpython maths matrix numerical-algorithms scienceThe Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. It is available on Windows Server 2016, Windows Server 2012, and on Linux. We offer Linux edition of the DSVM in either Ubuntu 16.04 LTS or on OpenLogic 7.2 CentOS-based Linux distributions. You can try the Data Science VM for free for 30 days (with $200 credits) with a free Azure Trial. The Linux (Ubuntu-based) DSVM also provides a test drive through a button on the product page. The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account (No Azure subscription or CC needed).On this repo, we will feature tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools or scripts, extensions you may have written to enhance the user experience on the DSVM.

data-science data-analysis machine-learning deep-learning azure big-data ai ml dsvm r sqlserverThis repository contains JavaScript implementations of different famous Computer Science algorithms.API reference with usage examples available here.

computer-science-algorithms algorithmMathematics for Computer Science (MIT 6.042J) Notes

Personal notes and exercises from popular books on Computer Science and Mathematics

Examples and templates in LaTeX for mathematics and computer science.

Computational Social Science, Applied Mathematics, Columbia University (Spring 2013)

mathematics in computer science, mainly in machine learning and data mining

My personal blog about Computer Science and Mathematics.

A collection of notes on computer science, mathematics, and other topics.

Visual cryptography is a powerful technique which combines the notions of perfect ciphers and secret sharing in cryptography with that of raster graphics. A binary image can be divided into shares which can be stacked together to approximately recover the original image. The physical transparency stacking type of decryption allows for the recovery of the traditional visual cryptography quality image. In this paper, quantification and analysis is done based on various performance parameters of vi

A Ruby library for analyzing the results of dat-science experiments. For the motivation behind this library, and documentation on setting up experiments, go check out dat-science's documentation.Once you've started a dat-science experiment and published some results, you'll want to analyze the mismatches from your experiment. In dat-analysis you'll find an analysis toolkit to help understand experiment results.

Linear Algebra through Computer Science Applications

Welcome to the Microsoft R for Data Science Course Repository. You can find the latest materials from the workshop here, and links for course materials from prior iterations of the course ca be found in the version pane. While this course is intended for data scientists and analysts interested in the Microsoft R programming stack (i.e., Microsoft employees in the Algorithms and Data Science group), other programmers might find the material useful as well.Please refer to the course syllabus for the full syllabus. The goal of this course is to cover the following modules, although some of the latter modules may be repalced for a hackathon/office hours.

r microsoft-r-server spark sparkml sparklyr data-science course-materials microsoftSource code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

data-analysis data-visualization cloud-computing machine-learning data-pipeline data-processing data-science data-engineeringCommon math and computer science algorithms in Objective-C

Common computer science algorithms in javascript.

Common Computer Science data structures and algorithms to use in C projects

Continually updated Data Science IPython Notebooks.This repo is a collection of IPython Notebooks I reference while working with data. Although I developed and maintain most notebooks, some notebooks I reference were created by other authors, who are credited within their notebook(s) by providing their names and/or a link to their source.For detailed instructions, scripts, and tools to more optimally set up your development environment for data analysis, check out the [data-dev-setup](https://g