An Introduction to Machine Learning through Microsoft ML

Guest blog by Christian Hollreiser Microsoft Student Partner at University of Oxford About Me Hi! My name is Christian Hollreiser and I am currently reading an MSc in Computer Science at the University of Oxford. My main interest lies in Artificial Intelligence and Machine Learning in particular. I hope to use these fields to find…

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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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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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Microsoft Deep Learning Virtual Machine

The DLVM is a specially configured variant of the Data Science VM DSVM that is custom made to help users jump start deep learning on Azure GPU VMs. The DLVM uses the same underlying VM images of the DSVM and hence comes with the same set of data science tools and deep learning frameworks as…

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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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Understanding Data Science and Machine Learning

Machine Learning Tools and Architecture Cognitive Services API: Provides a broad set of API’s for vision, speech, text, knowledge and search. Azure Gallery: Find existing models you can use out of the box. Azure Machine Learning: Build powerful models using a web based drag and drop interface. Microsoft R Server: Build R models and more…

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UCL Data Science Student Challenge

  UCL Data Science Student Challenge Saturday 11th to Sunday 12th of March, 2017       Guest blog by Rohan Kopparapu (4th year UCL) and Microsoft Student Partner Microsoft’s global series of data science hackathons made its second stop in the UK, at UCL last weekend. http://ucl.dsschack.com Over 170 students from across the country…

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Azure Machine learning and loading external data sets into your experiment

Amy Nicholson and I attended an event at University yesterday, Amy presentation was on the use of  Azure ML Studio and how the University could effectively use Azure Machine Studio within their Machine Learning teaching, learning and research. One of the questions we received at the end of the session was how to get large…

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Interested in Data Science welcome to Microsoft LearnAnalytics@MS Site

Dive into Webinars, On-Demand Videos, and Classroom Training to quickly master big data and advanced analytics techniques with Microsoft Advanced Analytics at http://learnanalytics.microsoft.com/ Deep Neural Networks in Azure: Transfer Learning and Fine-tuning Deep learning is an emerging field of research, which has applications across multiple fields. We will show how the transfer learning and fine…

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