What is the Team Data Science Process?
Provides a data science methodology to deliver predictive analytics solutions and intelligent applications.
Provides a data science methodology to deliver predictive analytics solutions and intelligent applications.
Create a continuous integration and continuous delivery pipeline for Artificial Intelligence (AI) applications using Docker and Kubernetes.
Learn how healthcare and life science organizations can centralize data and use data science and machine learning to stay relevant…
Learn how to build a robust, secure, and actively learning bot (chatbot) using the Azure Bot Framework.
Learn how to build, deploy, and manage high-quality models with Azure Machine Learning, a service for the end-to-end ML lifecycle.
Learn how to create a solution for predicting customer lifetime value and churn using Azure Machine Learning.
Solution description of how to develop predictive maintenance for manufacturing customers on Azure.
Architecture on Azure that shows a regulated environment for researchers to access sensitive data while providing a higher level of…
Learn about an architecture that provides a solution for the telecommunications industry that uses Azure Cloud Services to process large…
Implement a continuous integration (CI), continuous delivery (CD), and retraining pipeline for an AI application using Azure DevOps and Azure…
Use confidential computing and containers to support a provider-hosted application. Securely collaborate with hospitals and diagnostic providers.
Car dealerships, manufacturers, and insurance companies can use Microsoft Azure to gain predictive insights on vehicle health and driving habits.
Use population health management to improve clinical and health outcomes and reduce costs. Track, monitor, and benchmark data with this…
Use Azure IoT Edge, MLOps, and human-in-the-loop notifications to train and deploy an ML computer vision solution for manufacturing.
Create an image classifier with a solution architecture that includes Microsoft AirSim Drone simulator and Azure Custom Vision Cognitive Service.
Choose a natural language processing service for sentiment analysis, topic and language detection, key phrase extraction, and document categorization.
See Azure options for orchestrating, storing, building, deploying, and using custom document processing models.
Use machine learning and responsible AI to predict student attrition. Understand factors that affect education. Provide unbiased support for student…
Learn how subject matter expertise and deep reinforcement learning are used in machine teaching to turn automated control systems into…
Improve operations by using Azure Databricks, Delta Lake, and MLflow for data science and machine learning. Develop, train, and deploy…
Create personalized marketing offers and improve customer response using big-data insights based on Azure Machine Learning and Stream Analytics.
View a reference architecture that describes how to enable real-time anomaly detection for conveyor belts.
Use convolutional neural networks (CNNs) to classify large volumes of images efficiently. Take advantage of CNN layers to identify elements…
Enable a risk stratification model for surgeries.
Learn about big data architectures that handle the ingestion, processing, and analysis of data too large or complex for traditional…
Identify speech in static video files and manage it as standard content with this speech-to-text solution. Jump to video points…
Deploy machine learning models to Azure Kubernetes Service (AKS) for high-scale production inference.
Use Azure services with a bot assistant to improve interactions with customers and provide suggestions based on visual information.
Visual assistant identifies image content and delivers related information. It can read business cards and barcodes and recognize people, places,…
Use machine learning to automate recommendations. Use Azure Databricks and Azure Data Science Virtual Machines (DSVM) to train the models.
Transform unstructured image and text data into full text searchable content with Azure Cognitive Search pre-built and custom skills.
Optimize inventory and forecast demand by using Azure Machine Learning, Ray, and Power BI. Enable users to configure and run…
Learn how Project Bonsai builds and deploys autonomous systems using machine teaching, deep reinforcement learning, and simulations.
Learn about scaling Azure AI and machine learning environments that must comply with extensive security policies.
Implement a custom natural language processing (NLP) solution in Azure. Use Spark NLP for tasks like topic and sentiment detection…
Learn about an approach to machine learning operations (MLOps) that uses Azure Databricks to run model training and batch scoring.
Build intelligent marketing systems that provide customer-tailored content by using machine learning models that analyze data from multiple sources.
Perform batch scoring with R models using Azure Batch and a data set based on retail store sales forecasting.
Apply neural style transfer to a video using a convolutional neural network (deep learning) in an Azure Machine Learning pipeline…
This article provides guidance for the Microsoft Azure blueprint for AI.
Build an automated document processing pipeline. Use Azure Form Recognizer to extract data and natural language processing models to enrich…
Provide a high level of preventative medical care with remote patient monitoring from Azure. Analyze large amounts of medical data…
Build a pipeline to transcribe and analyze audio conversations by using the Azure Cognitive Services Speech and Language APIs.
Predict capacity and patient flow for your hospital or healthcare facility so that you can enhance the quality of care…
Find out how to automate video analysis. Use Computer Vision and Azure Machine Learning to analyze your content.
Build a quality assurance system that collects data and improves productivity by identifying potential problems in a manufacturing pipeline before…
Use an Azure Stack Edge or Azure IoT Edge device together with network cameras to determine if retail shelves have…
Often machine learning (ML) problems are too complex for a single ML model to solve. Learn about many models machine…
Overview for the high-power compute need in the manufacturing industry.
Retail industry assortment optimization. SKU optimization through insights from AI and ML.