Bored of MNIST? Let’s build your own OCR deep learning computer vision AI using Microsoft CNTK with EMNIST (Step by step guide)

Guest post by Chih Han Chen , Microsoft Student Partner from Imperial College London. I am currently a second year PhD student at Imperial College London. My research is mainly on expert systems and artificial intelligence for personalized decision based on genetics. I am interested in the application of informatics, big data, machine learning, data…

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Microsoft’s Batch AI Service – Train & test machine learning models, on pools of GPU machines.

Microsoft Batch AI Microsoft’s Batch AI Service is a new service that helps you train and test machine learning models, including deep learning models, on pools of GPU machines. It simplifies the process of creating a cluster of machines and training on it using many popular deep learning frameworks like TensorFlow, Microsoft Cognitive Toolkit, and…

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Future Decoded 2017–Register Now

Future Decoded is Microsoft’s annual UK conference which describes itself as “A vision of the modern digital business for today and tomorrow”. This year, the conference is held on 31st October & 1st November 2017 at the ExCeL, London. If you are not already registered, you can register for free at https://futuredecoded.com  Unlike previous years,…

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Utilising Azure Notebooks for learning new programming languages (like Python)

Guest post by Sidak Pasricha Microsoft Student Partner at UCL About Me Hello! My name is Sidak and I’m pursuing Computer Science Engineering at UCL. My interest areas mainly include Artificial Intelligence, Robotics and Video Game Development but I am open to any other technologies as I enjoy learning new skills and languages. One of…

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Learn Data Science from the experts

Guest blog by Ilias Chrysovergis Microsoft Student Partner at Imperial College London About Me Hey! My name is Ilias Chrysovergis and I am doing my MSc in Communications & Signal Processing at Imperial College London. My main academic interests are artificial intelligence, machine learning, signal processing and data science but I am also really keen…

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Azure Machine Learning WorkBench

Getting Started with Machine Learning Workbench for Windows: Install the Azure Machine Learning Workbench on your computer running Windows 10, Windows Server 2016, or newer. Create Azure Machine Learning Preview Account https://docs.microsoft.com/en-gb/azure/machine-learning/preview/quickstart-installation Download the latest Azure Machine Learning Workbench installer AmlWorkbenchSetup.msi. Double-click the downloaded installer AmlWorkbenchSetup.msi from your File Explorer. Finish the installation by following…

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Automated Installation of BigDL Using Deploy to Azure & DSVM

BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can write deep learning applications as Scala or Python programs and take advantage of the power of scalable Spark clusters To make it easier to deploy BigDL, Microsoft and Intel have partnered to create a “Deploy to Azure” button on top of…

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R is fun & easy with R Tools for Visual Studio (RTVS)

Guest post by Gorata Ramokapane, Microsoft Student Partner I’m a second-year student in University College London pursuing a degree in Statistics, Economics and Finance. In my first year of university I completed a module that basically introduced me to programming using R specifically on Rstudio. This further nourished my interest in data science. Recently, I…

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Getting Data into Azure Notebooks–Jupyter in the classroom

Jupyter provides the basis of the Azure Notebooks user experience. There are many ways to get your data in your notebooks ranging from using curl or leveraging the Azure package to access a variety of data all while working from a Jupyter Notebook. Here are some of the most popular ways Use curl to retrieve…

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Microsoft Machine Learning for Apache Spark

MMLSpark MMLSpark provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets. MMLSpark requires Scala 2.11, Spark 2.1+, and either…

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