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 Horizon
Published 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 applications
Published 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 PowerShell
Published 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 Analyzer
Published 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 .NET
Published 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

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 model
Published 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 codes
Published 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