Opinions, tips, and news orbiting Microsoft
Getting Started with Pytorch and Azure Jupyter Notebooks Azure Notebooks http://notebooks.azure.com is a free, cloud-hosted Jupyter Notebooks solution that you can use for interactive coding in your browser. PyTorch is preinstalled on the Azure Notebooks container, so you can start experimenting with PyTorch without having to install the framework or run your own notebook server… Continue reading Using Pytorch with Azure
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can’t be fully parallelized. Continue reading Maximize throughput with repartitioning in Azure Stream Analytics
The Microsoft Data Science Virtual Machine or Deep Learning Virtual Machine are 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 and Linux. We offer… Continue reading Using the Data Science VM within your classes
Custom Vision Identification The process is very easy as we use the Custom Vision (http://customvision.ai ) service to train an image classifier and then export the finished model in a number of different forms – CoreML, TensorFlow, ONNX, or dockerfile for IoT Edge/Azure Functions/Azure ML. So the process is: Use CustomVision.ai to build a model… Continue reading Cloud AI/ML APIs, How easy is it to deploy these on the Edge
Ever wondered what breed that dog or cat is? In this show, you’ll see us train, optimize and deploy a deep learning model using Azure Notebooks, Azure Machine Learning Service, and Visual Studio Code using Python. We use transfer learning to retrain a mobilenet model using Tensorflow to recognize dog and cat breeds using the… Continue reading Machine Learning – Building a Pet Detector in 30 minutes using Tensorflow
The IT industry is experiencing a shift from monolithic applications to microservices-based architectures. Continue reading Benefits of using Azure API Management with microservices
Promotional planning and demand forecasting are incredibly complex processes. Take something seemingly straight-forward, like planning the weekly flyer, and there are thousands of questions involving a multitude of teams just to decide what products to promote, and where to position the inventory to maximize sell-through. Continue reading How to avoid overstocks and understocks with better demand forecasting
Deploying Azure Information Protection from a technical standpoint is a fairly simple task. Where it becomes challenging is when you begin looking at the business requirements that must be in place prior to deployment of AIP.
Because… Continue reading Azure Information Protection Deployment Acceleration Guide