Microsoft Docs - Latest Articles
As the new home for Microsoft technical documentation, docs.microsoft.com has not only modernized the web experience for content, but also how we create and support the content you use to learn, manage and deploy solutions. It is the one-stop shop for everything related to Microsoft technologies. In order to make sure you can keep up to date on what’s new and exciting on docs.microsoft.com, we’ve created a dedicated feed for you.
Selected Feed: Azure
Azure VMware Solution by CloudSimple - Use Private Cloud site to host a virtual desktop infrastructure using VMware Horizon
https://docs.microsoft.com/en-us/azure/vmware-cloudsimple/horizon-guide Describes how you can use your CloudSimple Private Cloud site to host a virtual desktop infrastructure using VMware HorizonPublished Date : Tuesday, January 21, 2020
Azure VMs high availability for SAP NetWeaver on SLES multi-SID guide
https://docs.microsoft.com/en-us/azure/virtual-machines/workloads/sap/high-availability-guide-suse-multi-sid Multi-SID high-availability guide for SAP NetWeaver on SUSE Linux Enterprise Server for SAP applicationsPublished Date : Tuesday, January 21, 2020
Understand outputs from Azure Stream Analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-outputs This article describes data output options available in Azure Stream Analytics, including Power BI for analysis results.Published Date : Tuesday, January 21, 2020
How to scale your environment - Azure Time Series Insights
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-how-to-scale-your-environment Learn how to scale your Azure Time Series Insights environment using the Azure portal.Published Date : Tuesday, January 21, 2020
Plan your GA environment - Azure Time Series Insights
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-environment-planning Best practices for preparing, configuring, and deploying your Azure Time Series Insights GA environment.Published Date : Tuesday, January 21, 2020
What is Windows Virtual Desktop? - Azure
https://docs.microsoft.com/en-us/azure/virtual-desktop/overview An overview of Windows Virtual Desktop.Published Date : Tuesday, January 21, 2020
Stream data as input into Azure Stream Analytics
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs Learn about setting up a data connection in Azure Stream Analytics. Inputs include a data stream from events, and also reference data.Published Date : Tuesday, January 21, 2020
Manage reference data in GA environments using C# - Azure Time Series Insights
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-manage-reference-data-csharp Learn how to manage reference data for your GA environment by creating a custom application written in C#.Published Date : Tuesday, January 21, 2020
How to add reference data sets to your environment - Azure Time Series Insights
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-add-reference-data-set This article describes how to add a reference data set to augment data in your Azure Time Series Insights environment.Published Date : Tuesday, January 21, 2020
Quickstart - Create an Azure Stream Analytics cloud job in Visual Studio Code
https://docs.microsoft.com/en-us/azure/stream-analytics/quick-create-vs-code This quickstart shows you how to get started by creating a Stream Analytics job, configuring inputs, outputs, and defining a query with Visual Studio Code.Published Date : Tuesday, January 21, 2020
How to monitor and reduce throttling - Azure Time Series Insights
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-environment-mitigate-latency Learn how to monitor, diagnose, and mitigate performance issues that cause latency and throttling in Azure Time Series Insights.Published Date : Tuesday, January 21, 2020
Perform Azure Queue storage actions in PowerShell
https://docs.microsoft.com/en-us/azure/storage/queues/storage-powershell-how-to-use-queues How to perform operations on Azure Queue storage with PowerShellPublished Date : Tuesday, January 21, 2020
Troubleshooting data operations with diagnostics and Message Analyzer - Azure Storage
https://docs.microsoft.com/en-us/azure/storage/common/storage-e2e-troubleshooting A tutorial demonstrating end-to-end troubleshooting with Azure Storage Analytics, AzCopy, and Microsoft Message AnalyzerPublished Date : Tuesday, January 21, 2020
Migrate your data warehouse to Gen2 - Azure SQL Data Warehouse
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/gen2-migration-schedule Instructions for migrating an existing data warehouse to Gen2 and the migration schedule by region.Published Date : Tuesday, January 21, 2020
Tutorial - Update retail inventory assortment using publish/subscribe channels and topic filters with Azure portal
https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-tutorial-topics-subscriptions-portal In this tutorial, you learn how to send and receive messages from a topic and subscription, and how to add and use filter rules using .NETPublished Date : Tuesday, January 21, 2020
Troubleshooting guide for Azure Service Bus
https://docs.microsoft.com/en-us/azure/service-bus-messaging/service-bus-messaging-exceptions List of Service Bus messaging exceptions and suggested actions.Published Date : Tuesday, January 21, 2020
Indexer errors and warnings - Azure Cognitive Search
https://docs.microsoft.com/en-us/azure/search/cognitive-search-common-errors-warnings This article provides information and solutions to common errors and warnings you might encounter during AI enrichment in Azure Cognitive Search.Published Date : Tuesday, January 21, 2020
How to use Notification Hubs with Python
https://docs.microsoft.com/en-us/azure/notification-hubs/notification-hubs-python-push-notification-tutorial Learn how to use Azure Notification Hubs from a Python back-end.Published Date : Tuesday, January 21, 2020
Azure Media Services v3 documentation
https://docs.microsoft.com/en-us/azure/media-services/latest/ Learn how to encode and package content, stream videos on-demand, broadcast live, analyze your videos with Media Services v3.Published Date : Tuesday, January 21, 2020
Filtering, ordering, and paging of Media Services entities - Azure Media Services
https://docs.microsoft.com/en-us/azure/media-services/latest/entities-overview Learn about filtering, ordering, and paging of Azure Media Services entities.Published Date : Tuesday, January 21, 2020
Design of a multi-DRM content protection system with access control - Azure Media Services
https://docs.microsoft.com/en-us/azure/media-services/latest/design-multi-drm-system-with-access-control This articles gives detailed description of how to design a multi-DRM content protection system with Azure Media Services.Published Date : Tuesday, January 21, 2020
Azure CLI Script Example - Create an Azure Media Services asset
https://docs.microsoft.com/en-us/azure/media-services/latest/cli-create-asset The Azure CLI script in this topic shows how to create a Media Services Asset to upload content to.Published Date : Tuesday, January 21, 2020
Protect your content with Media Services dynamic encryption - Azure Media Services
https://docs.microsoft.com/en-us/azure/media-services/latest/content-protection-overview Learn about content protection with dynamic encryption, streaming protocols, and encryption types in Azure Media Services.Published Date : Tuesday, January 21, 2020
Clouds and regions in which Azure Media Services v3 is available
https://docs.microsoft.com/en-us/azure/media-services/latest/azure-clouds-regions This article talks about Azure clouds and regions in which Azure Media Services v3 is available.Published Date : Tuesday, January 21, 2020
Regression tutorial: Automated ML - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-auto-train-models In this tutorial, you learn how to generate a machine learning model by using automated machine learning. Azure Machine Learning can perform data preprocessing, algorithm selection, and hyperparameter selection in an automated way for you.Published Date : Tuesday, January 21, 2020
Tutorial: Predict automobile price with the designer - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-train-score Learn how to train, score, and deploy a machine learning model by using a drag-and-drop interface. This tutorial is part one of a two-part series on predicting automobile prices by using linear regression.Published Date : Tuesday, January 21, 2020
What is ML Studio (classic) - Azure
https://docs.microsoft.com/en-us/azure/machine-learning/studio/what-is-ml-studio Azure Machine Learning Studio (classic) is a drag-and-drop tool for quickly building models from a ready-to-use library of algorithms and modules.Published Date : Tuesday, January 21, 2020
Consume web service - ML Studio (classic) - Azure
https://docs.microsoft.com/en-us/azure/machine-learning/studio/consume-web-services Once a machine learning service is deployed from Azure Machine Learning Studio (classic), the RESTFul Web service can be consumed either as real-time request-response service or as a batch execution service.Published Date : Tuesday, January 21, 2020
Tutorial 1: Predict credit risk - ML Studio (classic) - Azure
https://docs.microsoft.com/en-us/azure/machine-learning/studio/tutorial-part1-credit-risk A detailed tutorial showing how to create a predictive analytics solution for credit risk assessment in Azure Machine Learning Studio (classic). This tutorial is part one of a three-part tutorial series. It shows how to create a workspace, upload data, and create an experiment.Published Date : Tuesday, January 21, 2020
Tutorial: Deploy a machine learning model with the designer - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy This tutorial shows you how to build a predictive analytics solution in Azure Machine Learning designer (preview). Train, score, and deploy a machine learning model by using drag-and-drop modules.Published Date : Tuesday, January 21, 2020
Quickstart: Create a data science experiment - ML Studio (classic) - Azure
https://docs.microsoft.com/en-us/azure/machine-learning/studio/create-experiment This machine learning quickstart walks you through an easy data science experiment. We'll predict the price of a car using a regression algorithm.Published Date : Tuesday, January 21, 2020
Run batch predictions using Azure Machine Learning designer (preview) - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-run-batch-predictions-designer Learn how to train a model and set up a batch prediction pipeline using the designer. Deploy the pipeline as a parameterized web service, which can be triggered from any HTTP library.Published Date : Tuesday, January 21, 2020
Designer: Predict flight delay example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-classification-flight-delay Build a classifier and use custom R code to predict flight delays with Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Retrain models using Azure Machine Learning designer (preview) - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-retrain-designer Learn how to retrain models with published pipelines in Azure Machine Learning designer (preview).Published Date : Tuesday, January 21, 2020
Debug and troubleshoot machine learning pipelines - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines Debug and troubleshoot machine learning pipelines in the Azure Machine Learning SDK for Python. Learn common pitfalls for developing pipelines, and tips to help you debug your scripts before and during remote execution.Published Date : Tuesday, January 21, 2020
Designer: classify book reviews example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-text-classification Build a multiclass logistic regression classifier to predict the company category with wikipedia SP 500 dataset using Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Train with azureml-datasets - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-with-datasets Learn how to use datasets in trainingPublished Date : Tuesday, January 21, 2020
What is Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml Overview of Azure Machine Learning - An integrated, end-to-end data science solution for professional data scientists to develop, experiment, and deploy advanced analytics applications at cloud scale.Published Date : Tuesday, January 21, 2020
Designer: Classify, predict income example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-classification-predict-income Follow this example build a no-code classifier to predict income with Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Designer: Predict car prices (basic) example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-regression-automobile-price-basic Build an ML regression model to predict an automobile's price without writing a single line of code with Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Designer: Predict car prices (advanced) example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-regression-automobile-price-compare-algorithms Build & compare multiple ML regression models to predict an automobile's price based on technical features with Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Train a neural network with TensorFlow - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-tensorflow Learn how to run TensorFlow training scripts at scale using Azure Machine Learning.Published Date : Tuesday, January 21, 2020
How to deploy models to Azure Kubernetes Service - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service Learn how to deploy your Azure Machine Learning models as a web service using Azure Kubernetes Service.Published Date : Tuesday, January 21, 2020
Designer: Predict churn example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-classification-churn Follow this classification example to predict churn with Azure Machine Learning designer & boosted decision trees.Published Date : Tuesday, January 21, 2020
Designer: Predict credit risk example - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-sample-classification-credit-risk-cost-sensitive Build a classifier and use custom Python scripts to predict credit risk using Azure Machine Learning designer.Published Date : Tuesday, January 21, 2020
Execute Python Script: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/execute-python-script Learn how to use the Execute Python Script module in Azure Machine Learning to run Python code.Published Date : Tuesday, January 21, 2020
Execute R Script: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/execute-r-script Learn how to use the Execute R Script module in Azure Machine Learning to run R code.Published Date : Tuesday, January 21, 2020
Two-Class Logistic Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-logistic-regression Learn how to use the Two-Class Logistic Regression module in Azure Machine Learning to create a logistic regression model that can be used to predict two (and only two) outcomes.Published Date : Tuesday, January 21, 2020
Add Columns: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/add-columns Learn how to use the Add Columns module in Azure Machine Learning to concatenate two datasets.Published Date : Tuesday, January 21, 2020
Azure Machine Learning vs. Machine Learning Studio (classic)
https://docs.microsoft.com/en-us/azure/machine-learning/compare-azure-ml-to-studio-classic How Azure Machine Learning is different from Machine Learning Studio (classic)Published Date : Tuesday, January 21, 2020
Split Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data Learn how to use the Split Data module in Azure Machine Learning to divide a dataset into two distinct sets.Published Date : Tuesday, January 21, 2020
What is a workspace - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace The workspace is the top-level resource for Azure Machine Learning. It keeps a history of all training runs, including logs, metrics, output, and a snapshot of your scripts. You use this information to determine which training run produces the best modelPublished Date : Tuesday, January 21, 2020
Train Clustering Model: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/train-clustering-model Learn how to use the Train Clustering Model module in Azure Machine Learning to train clustering models.Published Date : Tuesday, January 21, 2020
Algorithm & module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/module-reference Learn about the modules available in Azure Machine Learning designer (preview)Published Date : Tuesday, January 21, 2020
Train SVD Recommender: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/train-svd-recommender Learn how to use the Train SVD Recommender module in Azure Machine Learning to train a Bayesian recommender by using the SVD algorithm.Published Date : Tuesday, January 21, 2020
Edit Metadata: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/edit-metadata Learn how to use the Edit Metadata module in the Azure Machine Learning to change metadata that's associated with columns in a dataset.Published Date : Tuesday, January 21, 2020
Partition and Sample: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/partition-and-sample Learn how to use the Partition and Sample module in Azure Machine Learning to perform sampling on a dataset or to create partitions from your dataset.Published Date : Tuesday, January 21, 2020
Two-Class Neural Network: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-neural-network Learn how to use the Two-Class Neural Network module in Azure Machine Learning to create a neural network model that can be used to predict a target that has only two values.Published Date : Tuesday, January 21, 2020
Enterprise security - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/concept-enterprise-security Securely use Azure Machine Learning: authentication, authorization, network security, data encryption, and monitoring.Published Date : Tuesday, January 21, 2020
Select Columns in Dataset: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/select-columns-in-dataset Learn how to use the Select Columns in Dataset module in Azure Machine Learning to choose a subset of columns to use in downstream operations.Published Date : Tuesday, January 21, 2020
Neural Network Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/neural-network-regression Learn how to use the Neural Network Regression module in Azure Machine Learning to create a regression model using a customizable neural network algorithm..Published Date : Tuesday, January 21, 2020
Join Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/join-data Learn how to use the join Join Data module in Azure Machine Learning to merge datasets.Published Date : Tuesday, January 21, 2020
Clip Values - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/clip-values Learn how to use the Clip Values module in Azure Machine Learning to detect outliers and clip or replace their values.Published Date : Tuesday, January 21, 2020
Multiclass Logistic Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/multiclass-logistic-regression Learn how to use the Multiclass Logistic Regression module in Azure Machine Learning to create a logistic regression model that can be used to predict multiple values.Published Date : Tuesday, January 21, 2020
Decision Forest Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-averaged-perceptron Learn how to use the Two-Class Averaged Perceptron module in Azure Machine Learning to create a machine learning model based on the averaged perceptron algorithm.Published Date : Tuesday, January 21, 2020
Model training methods - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/concept-train-machine-learning-model Learn the different methods you can use to train model with Azure Machine Learning. Estimators provide an easy way to work with popular frameworks like Scikit-learn, TensorFlow, Keras, PyTorch, and Chainer. Machine Learning pipelines make it easy to schedule unattended runs, use heterogenous compute environments, and reuse parts of your workflow. And run configurations provide granular control over the compute targets that the training process runs on.Published Date : Tuesday, January 21, 2020
Multiclass Neural Network: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/multiclass-neural-network Learn how to use the Multiclass Neural Network module in Azure Machine Learning to create a neural network model that can be used to predict a target that has multiple values.Published Date : Tuesday, January 21, 2020
Permutation Feature Importance: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/permutation-feature-importance Learn how to use the Permutation Feature Importance module in Azure Machine Learning to compute the permutation feature importance scores of feature variables, given a trained model and a test dataset.Published Date : Tuesday, January 21, 2020
Select Columns Transform: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/select-columns-transform Learn how to use the Select Columns Transform module in Azure Machine Learning to create a transformation that selects the same subset of columns as in the given dataset.Published Date : Tuesday, January 21, 2020
Two-Class Decision Forest: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-decision-forest Learn how to use the Two-Class Decision Forest module in Azure Machine Learning to create a machine learning model based on the decision forests algorithm.Published Date : Tuesday, January 21, 2020
Summarize Data - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/summarize-data Learn how to use the Summarize Data module in Azure Machine Learning to generate a basic descriptive statistics report for the columns in a dataset.Published Date : Tuesday, January 21, 2020
Export Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/export-data Learn how to use the Export Data module in Azure Machine Learning to save results, intermediate data, and working data from your pipelines into cloud storage destinations outside Azure Machine Learning.Published Date : Tuesday, January 21, 2020
Filter Based Feature Selection: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/filter-based-feature-selection Learn how to use the Filter Based Feature Selection module in Azure Machine Learning to identify the features in a dataset with the greatest predictive power.Published Date : Tuesday, January 21, 2020
Architecture & key concepts - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/concept-azure-machine-learning-architecture Learn about the architecture, terms, concepts, and workflows that make up Azure Machine Learning.Published Date : Tuesday, January 21, 2020
Preprocess Text: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/preprocess-text Learn how to use the Preprocess Text module in Azure Machine Learning to clean and simplify text.Published Date : Tuesday, January 21, 2020
Normalize Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/normalize-data Learn how to use the Normalize Data module in Azure Machine Learning to transform a dataset through *normalization*..Published Date : Tuesday, January 21, 2020
Enter Data Manually: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/enter-data-manually Learn how to use the Enter Data Manually module in Azure Machine Learning to create a small dataset by typing values. The dataset can have multiple columns.Published Date : Tuesday, January 21, 2020
Build ML models with designer - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer Learn about the terms, concepts, and workflow that makes up the designer for Azure Machine Learning.Published Date : Tuesday, January 21, 2020
Remove Duplicate Rows: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/remove-duplicate-rows Learn how to use the Remove Duplicate Rows module in Azure Machine Learning to remove potential duplicates from a dataset.Published Date : Tuesday, January 21, 2020
Two-Class Boosted Decision Tree: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-boosted-decision-tree Learn how to use the Two-Class Boosted Decision Tree module in Azure Machine Learning to create a machine learning model that is based on the boosted decision trees algorithm.Published Date : Tuesday, January 21, 2020
Two-Class Support Vector Machine: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/two-class-support-vector-machine Learn how to use the **Two-Class Support Vector Machine** module in Azure Machine Learning to create a model that is based on the support vector machine algorithm.Published Date : Tuesday, January 21, 2020
Train Model: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/train-model Learn how to use the **Train Model** module in Azure Machine Learning to train a classification or regression model.Published Date : Tuesday, January 21, 2020
Clean Missing Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/clean-missing-data Learn how to use the Clean Missing Data module in Azure Machine Learning to remove, replace, or infer missing values.Published Date : Tuesday, January 21, 2020
Extract N-Gram Features from Text module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/extract-n-gram-features-from-text Learn how to use the Extract N-Gram module in the Azure Machine Learning to featurize text data.Published Date : Tuesday, January 21, 2020
One-vs-All Multiclass - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/one-vs-all-multiclass Learn how to use the One-vs-All Multiclass module in Azure Machine Learning to create a multiclass classification model from an ensemble of binary classification models.Published Date : Tuesday, January 21, 2020
Apply SQL Transformation - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/apply-sql-transformation Learn how to use the Apply SQL Transformation module in Azure Machine Learning to run a SQLite query on input datasets to transform the data.Published Date : Tuesday, January 21, 2020
Score SVD Recommender: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/score-svd-recommender Learn how to use the Score SVD Recommender module in Azure Machine Learning to score recommendation predictions for a dataset.Published Date : Tuesday, January 21, 2020
Import Data: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/import-data Learn how to use the Import Data module in Azure Machine Learning to load data into a machine learning pipeline from existing cloud data services.Published Date : Tuesday, January 21, 2020
Linear Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/linear-regression Learn how to use the Linear Regression module in Azure Machine Learning to create a linear regression model for use in a pipeline.Published Date : Tuesday, January 21, 2020
Evaluate Recommender: Module reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/evaluate-recommender Learn how to use the Evaluate Recommender module in Azure Machine Learning to evaluate the accuracy of recommender model predictions.Published Date : Tuesday, January 21, 2020
Decision Forest Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/decision-forest-regression Learn how to use the Decision Forest Regression module in Azure Machine Learning to create a regression model based on an ensemble of decision trees.Published Date : Tuesday, January 21, 2020
Multiclass Decision Forest: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/multiclass-decision-forest Learn how to use the Multiclass Decision Forest module in Azure Machine Learning to create a machine learning model based on the *decision forest* algorithm.Published Date : Tuesday, January 21, 2020
Boosted Decision Tree Regression: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/boosted-decision-tree-regression Learn how to use the Boosted Decision Tree Regression module in Azure Machine Learning to create an ensemble of regression trees using boosting.Published Date : Tuesday, January 21, 2020
K-Means Clustering: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/k-means-clustering Learn how to use the K-Means Clustering module in the Azure Machine Learning to train clustering models.Published Date : Tuesday, January 21, 2020
SMOTE - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/smote Learn how to use the SMOTE module in Azure Machine Learning to increase the number of low-incidence examples in a dataset by using oversampling.Published Date : Tuesday, January 21, 2020
Tune Model Hyperparameters - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/tune-model-hyperparameters Learn how to use the Tune Model Hyperparameters module in Azure Machine Learning to perform a parameter sweep on a model to determine the optimum parameter settings.Published Date : Tuesday, January 21, 2020
Multiclass Boosted Decision Tree: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/multiclass-boosted-decision-tree Learn how to use the Multiclass Boosted Decision Tree module in Azure Machine Learning to create a classifier using labeled data.Published Date : Tuesday, January 21, 2020
Troubleshoot module errors - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/designer-error-codes Troubleshoot module exceptions in Azure Machine Learning designer using error codesPublished Date : Tuesday, January 21, 2020
Score Model: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/score-model Learn how to use the Score Model module in Azure Machine Learning to generate predictions using a trained classification or regression model.Published Date : Tuesday, January 21, 2020
Apply Transformation: Module Reference - Azure Machine Learning
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/apply-transformation Learn how to use the Apply Transformation module in Azure Machine Learning to modify an input dataset based on a previously computed transformation.Published Date : Tuesday, January 21, 2020