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.
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]
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]
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]
Deploying Deep Learning Models on Kubernetes with GPUs – This post is authored by Mathew Salvaris and Fidan Boylu Uz, Senior Data Scientists at Microsoft. One of the major challenges that data scientists often face is closing the gap between training a deep learning model and deploying it at production scale.[Read More]
Advancing ocean research through data and technology – Seven months ago, we announced the launch of the AI for Earth EU Oceans award … Meanwhile in France, our second grantee IMT Atlantique is developing data-driven and learning-based schemes for the modelling, analysis and reconstruction of ocean atmosphere …[Read More]
Inside the Microsoft Garage: Ink to Code – “We’re always looking for ways to innovate and had some ideas about trying to use AI to enhance our current designer projects in Visual Studio,” explained Corrado. “We kicked around some ideas and somebody mentioned “what about an ink-based …[Read More]
Illinois Universities: Driving Innovation Forward – Matt Bragg is Program Manager for Data and Policy at the Illinois Science & Technology Coalition (ISTC). Matt is responsible for overseeing all aspects of the Illinois Innovation Index – the ISTC’s quarterly data publication tracking and …[Read More]
A common popular technique for learning data science is starting a project. Here are the 3 E’s for why building a data science project is a good idea.
A data science project will expose you to all the stages of the data science process. You will need to start with the identification of an interesting question or problem. Then you will have to find and collect the necessary data. After that, cleaning and modeling the data is important. Finally, the result needs to be presented (this is called deployment).
Employers always want experience, and a project can provide that.
Once a project is started, there is always something new to learn. For example, the project will have data. Where do you store that data? It might need a database. Should you use a cloud database or install one locally. You will have to learn how to do that. Another example, after you have collected your data, you might realize some rows are incomplete. Then you will have to look into methods for dealing with missing data. This will require more learning.
A project provides a better learning environment than a list of courses because each new thing you learn has a reason and a purpose. To follow the examples from above: You know why you are creating a database and you know why missing data is important.
Make sure to pick a project that is interesting to you. This decision will make the project more enjoyable. If you enjoy sports, maybe build a project around fantasy sports. Sports are filled with data. If you enjoy reading, build something around books, authors, or magazines. If exercise is your thing, build an app to predict your progress. Plus, if you find an answer to your question, it is always fun to solve something.
This post goes along with the video here, . Got a question you want answered. Please ask in the comments.
Optimizing defense systems with AI – With data collection expected to increase exponentially over the next decade, this problem is likely to increase. Assisting defense with AI and cognitive services Defense agencies require agility to rapidly handle asymmetric threats in dynamic environments …[Read More]
Microsoft HoloLens now available in Singapore – JRCS, a major Japanese maritime services company, deployed mixed reality, the Internet of Things (IoT), and AI to change how shipping crews are trained, how ships are maintained, and how navigational safety and standards are promoted and enforced.[Read More]
Connect Intel Edison to Azure IoT Hub (Node.js) – Create an IoT hub. Register a device for Edison in your IoT hub. Run a sample application on Edison to send sensor data to your IoT hub. Connect Intel Edison to an IoT hub that you create. Then you run a sample application on Edison to collect temperature …[Read More]
Here are the latest articles from Microsoft regarding cloud data science products and updates. This week, it covers: new AI training, IoT investments, learning for the deaf with AI, Cosmos DB, Project Roadrunner, and more.
Microsoft will invest $5 billion in IoT. Here’s why. – We’re also getting a look into how both customers and partners overcome the specific challenges of building an IoT solution that harnesses massive amounts of data. Whether they … machine learning, AI, security and privacy. We are committed to helping …[Read More]
AI technology helps students who are deaf learn – The AI in the Custom Speech Service uses this data to build models for how domain-specific words are pronounced. When a speaker then uses the words, the system recognizes them and displays the text in the real-time transcript. Chris Campbell is an NTID …[Read More]
A new IP strategy for a new era of shared innovation – This AI-powered system guides surgeons during operations and sends … the statistical programming language used by data science experts around the world. Over 40 percent of the virtual machines running on Azure today use Linux. Some of our existing …[Read More]
Azure Cosmos DB – You can use a spark connector to do Machine Learning and Data Science in Spark using the Spark connector for … and all developers need to focus is on their application logic. Join our Data & AI Partner community call on April 6, where we’ll be …[Read More]
Here are the latest articles from Microsoft regarding cloud data science products and updates. Some of the topics this week: Azure ML, AI Research, Intelligent Cloud, and Anomaly Detection.
What is Azure Machine Learning Studio? – Machine Learning Studio is where data science, predictive analytics … Click Gallery and you’ll be taken to the Azure AI Gallery. The Gallery is a place where a community of data scientists and developers share solutions created using components of …[Read More]
Want to sell Azure but don’t know where to start? – It’s the most trusted, open, and flexible cloud platform. Whether it’s for cloud app development, cloud and infrastructure, data and AI, or security, you’ll be able to give your customers an Azure package that works for them. But with such a broad range of …[Read More]