Here are the latest articles from Microsoft regarding cloud data science products and updates.
Basics of R and Python Execution in SQL Server – Ensure Machine Learning Services is already installed and enabled. After setup I will now show you the basics of executing R and Python code within a T-SQL statement. While I use Python in these samples, you can do everything with R as well. Open up SQL …[Read More]
Emerging AI Patterns – Since that time, the Microsoft AI Solution for Customer Service, which is being used by Microsoft, HP, Macy’s, Australian Government Department of Human Services … Machine learning does a great job of detecting patterns in a vast amount of data …[Read More]
Devs imagine, create, and code the future at Microsoft Build – Developers experienced HoloLens, programmed their own AI-powered drones, and explored cutting-edge IoT solutions amid myriad other … technologies like Azure Containers, Power BI, and Cognitive Services then discuss concepts with the Microsoft engineers …[Read More]
Explore Build 2018 content with playlists – AI + Machine Learning AI + Machine Learning Create the next generation of applications using artificial intelligence capabilities for any developer and any scenario Containers Containers Develop and manage your containerized applications faster with …[Read More]
Enterprise Deployment Tips for Azure Data Science Virtual Machine (DSVM) – The Data Science Virtual Machine (DSVM), a popular … with a host of preconfigured data and AI tools. It enables data scientists and AI developers to iterate on developing high quality predictive models and deep learning architectures and helps them …[Read More]
Build Your Own Text Classification Model – In all three of these examples, machine learning models can help. The Text Classification solution on the Azure AI Gallery solves these multi-class text classification problems using SQL Server ML Services. Both R and Python solutions are included.[Read More]
MIT has recently launched Statistics and Data Science MicroMasters program. The program is a series of online MIT graduate courses offered via EdX. It officially starts in the fall of 2018.
Here are the latest articles from Microsoft regarding cloud data science products and updates.
Azure Content Spotlight – What’s New with Cognitive Services – This weeks content spotlight is all about Azure Cognitive Services. Seth Juarez’s AI Show on Channel 9 provides regular updates on all the new AI features on the Azure platform, including Cognitive Services. See below a collection of the latest video’s …[Read More]
A Scalable End-to-End Anomaly Detection System using Azure Batch AI – This post is authored by Said Bleik, Senior Data Scientist at Microsoft. In a previous post I showed how Batch AI can be used to train many anomaly detection models in parallel for IoT scenarios … several Azure cloud services and Python code that …[Read More]
Azure.Source – Volume 31 – In addition, Cognitive Services add pre-built, cloud-hosted APIs for developers to add AI capabilities, including new services announced at Build. This post also covers Cognitive Search and Azure Machine Learning (ML) advancements. The Microsoft data …[Read More]
Azure Stack: the last mile in Hybrid Cloud – These include Microsoft Azure Cognitive Services, exceptionally large HDInsight environments, and Microsoft Azure Data Lake Store. Services which are best consumed in a Hyperscale Cloud will run on Azure, while services that best fit an enterprise …[Read More]
Using Azure for Machine Learning – I’m interested in learning more about AI, Data Science, and Machine Learning to improve … other interesting and useful products such as Microsoft IoT Hub, SQL Database, and Cognitive Services which I use a lot for Pantrylogs. You can really play …[Read More]
Use AU Analyzer for faster, lower cost Data Lake Analytics – Do you use Data Lake Analytics and wonder how many Analytics Units your jobs should have been assigned? Do you want to see if your job could consume a little less time or money? The recently-announced AU Analyzer tool can help you today! See our recent …[Read More]
Simple and robust way to operationalise Spark models on Azure – It gives you everything that Open Source Spark does and then some. I’ve been especially enjoying the effortless ways to move large datasets around and the ease of MLlib for my AI-projects. One of the questions with the simpler models like regressions and …[Read More]
How Azure IoT helped me buy a new house – Part 1 – shares a personal story on how he used Azure IoT to figure out a solution to a problem that many of us face – high electric bills. In the series, Steve shares the process and code that he used to implement this solution. Telemetry data is an important …[Read More]
Microsoft empowers developers with new and updated Cognitive Services – Today at the Build 2018 conference, we are unveiling several exciting new innovations for Microsoft Cognitive Services on Azure. At Microsoft, we believe any developer should be able to integrate the best AI has … of-the-art machine learning neural …[Read More]
AI and the New Generation of Software Building Blocks – From AI, to mixed/virtual reality, to blockchain, to IoT … of data at scale, and breakthroughs in AI research that are powering access to easier to use tools and techniques. While Microsoft Research has been working on AI and deep learning techniques …[Read More]
Azure Stack: the last mile in Hybrid Cloud – These include Microsoft Azure Cognitive Services, exceptionally large HDInsight environments, and Microsoft Azure Data Lake Store. Services which are best consumed in a Hyperscale Cloud will run on Azure, while services that best fit an enterprise …[Read More]
Make Your FAQ Bot Application By Simple Clicks – but now part of Microsoft Research’s Cognitive Services – previously “Project Oxford” – a collection of extremely powerful machine learning APIs for processing images, video, text, speech, to extract meaning. As a simple bot application let’s …[Read More]
Tip o’ the Week 430 – developers, developers, developers – The cloud platform in Azure can take data from devices on the edge and process it on their behalf, or using smarter devices, do some of the processing locally, perhaps using machine learning models that have been trained in the cloud but executed at the edge.[Read More]
Here are the latest articles from Microsoft regarding cloud data science products and updates.
Kubernetes Load Testing – With these new tools and services data science teams now have the freedom of wider language and model selection when creating AI new services … Detailed instructions for consuming an Azure Machine Learning Web service can be found here.[Read More]
Python at Microsoft: Meet us at Build and PyCon US! – Attend our first workshop Standardized Data Science: The Team Data Science Data Process on Thursday May 10 th at 9AM in room 25C to learn about a standardized approach to doing Data Science as a team. Then, check out our second workshop Python with Visual …[Read More]
Microsoft extends AI support to PyTorch 1.0 deep learning framework – Today Microsoft is announcing the support for PyTorch 1.0 in Azure Machine Learning Services and Data Science Virtual Machine … prototyping to production deployment for a broad range of AI projects. With PyTorch 1.0, AI developers can both experiment …[Read More]
Understanding your GPU Performance on Azure with GPU Monitor – Many are now around performance and optimisation of cloud services. Or simply understanding what students … They have created an app for monitoring GPUs on a single machine and across a clusters. You can use it to record various GPU measurements during …[Read More]
Cloud Computing a blended learning approach to education – The growth in cloud presents challenges for companies to source expertise that securely supports their business when migrating/deploying services to the cloud … cross-platform scenarios in AI and machine learning, data science, web development, mobile …[Read More]
Best Practices For Using Azure Resource Manager Templates – All input parameters of the Virtual Machine (VM … grouped into the same resource group. Many side services of your application have a different lifecycle from the application itself, for example the data, logging, authentication, networking, etcetera.[Read More]
Azure Notebooks at Imperial College Machine Learning Society – I am interested in cryptography, all things space exploration and the field of machine learning. Earlier this year, I was part of a group of students that set up and now run the machine learning society here at Imperial. As an incredibly exciting area with …[Read More]
Image Factory – Part 4: Set Retention Policy and Run Cleanup Steps – Nathan Jones, IT Service Manager Nathan is part of the AI + Research organisation. He has been at MSR Cambridge, UK, for 13 years, working alongside and supporting researchers across multiple projects. Peter Hauge, Principle Software Engineer Peter is part …[Read More]
Temperature Sensing and Control using Raspberry Pi – I also have enthusiasm in education and science communication. I teach part-time as a tutor … Be careful here as not all wifi dongles are supported in the IoT Core. Check [https://docs.microsoft.com/en-us/windows/iot-core/learn-about-hardware …[Read More]
Running YOLO v2 on the Microsoft Data Science Virtual Machine – During the day I had a number of conversations with construction industry professionals and one of the topics we got into talking about how technology from HoloLens, to Data Science is revolutionising … and services make ML, AI so much more accessible …[Read More]
Here are the latest articles from Microsoft regarding cloud data science products and updates. This week includes IoT hubs, Time Series Insights, Deep Learning Virtual Machine, Python sample code for cognitive services, and more.
Propel your IoT platform to the cloud with Azure Time Series Insights! – “Time Series Insights is the cornerstone of our IoT platform and will be pivotal in enabling our larger AI and Machine Learning strategies going forward … new long-term storage will empower our data science and engineering teams, in collaboration …[Read More]
Transfer Learning for Text using Deep Learning Virtual Machine (DLVM) – We use Deep Learning Virtual Machine (DLVM) as the compute environment with a NVIDIA Tesla K80 GPU, CUDA and cuDNN libraries. The DLVM is a specially configured variant of the Data Science … these services to produce business results. The AI models …[Read More]
Cognitive Services Python SDK Samples – These samples will show you how to get up and running using the Python SDKs for various Cognitive Services services. They’ll cover a few rudimentary use cases and hopefully express best practices for interacting with the data from these APIs. Subscription …[Read More]
Using Query APIs to Unlock the Power of Azure Time Series Insights – Azure Time Series Insights (TSI) is a fully managed service aimed at providing visual analytics capabilities for time series data … IoT architecture involving the TSI service is shown in Figure 1. Figure 1: A typical IoT Architecture built with Azure …[Read More]
Deep Learning for Emojis with VS Code Tools for AI – We also see an increasing investment in chatbots that allow users to complete task-oriented services … data science reproducibility and auditing. Visual Studio Code Tools for AI comes with a Sample Explorer via integration with Azure Machine Learning.[Read More]
Per disk metrics for Managed & Unmanaged Disks now in public preview – AI + Machine Learning AI + Machine … on-premises infrastructure and services to provide your customers and users the best possible experience Storage Storage Get secure, massively scalable cloud storage for your data, apps, and workloads Posted on …[Read More]
Processing data from IoT Hub with Azure Functions – All this will be done by setting up the integration between IoT Hub and Azure Functions, while learning a bit about triggers and bindings for Azure Functions, and drop your processed data on Cosmos … simulation active on our machine, which kept pushing …[Read More]
