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Architectures to help you design and implement secure, highly-available, performant and resilient solutions on Azure.
Explore using transfer learning, convolutional neural networks, and gradient-boosting decision tree algorithms.
Learn how to use Azure Machine Learning to predict failures before they happen with real-time assembly line data.
Learn how to predict capacity and patient flow for your hospital or healthcare facility to enhance the quality of care and improve operational efficiency.
Find essential technology to market your products with personalized offers. Individualize your marketing for greater customer response using big-data insights.
Using SQL Server 2016 with R Services, lenders can predict a borrower's credit risk and default probability to help issue fewer unprofitable loans.
Microsoft Azure’s IT Anomaly Insights can help automate and scale anomaly detection for IT departments to quickly detect and fix issues.
Learn how to build a machine-learning model with Microsoft R Server on Azure HDInsight Spark clusters to recommend actions to maximize the purchase rate.
Predict future customer demand and optimize pricing to maximize profitability using big-data and advanced-analytics services from Microsoft Azure.
Learn how to build a machine-learning model with SQL Server 2016 with R Services to optimize and manage marketing campaigns.
Microsoft Azure’s Predictive Maintenance solution demonstrates how to combine real-time aircraft data with analytics to monitor aircraft health.
Explore how deep learning and natural language processing can be used effectively with the Microsoft AI platform.
Learn how car dealerships, manufacturers, and insurance companies can use Microsoft Azure to gain predictive insights on vehicle health and driving habits.
Learn how Microsoft Azure can help accurately forecast spikes in demand for energy products and services to give your company a competitive advantage.