Microsoft Machine Learning Server
learn.microsoft.com/en-us/archive/blogs/mlserver
Microsoft Machine Learning Server Blog
- Posts
- 88 from 3 Aug 2016 to 4 Mar 2019
- Posting
- archived, read-only
- Kind
- company blog
- Feed
- https://learn.microsoft.com/en-us/archive/blogs/mlserver/feed.xml
2019 1
2018 12
- Build Intelligent Web App with Machine Learning Service
- How to operationalize TensorFlow models in Microsoft Machine Learning Server
- Dockerizing R and Python Web Services
- Run R and Python Remotely in SQL Server from Jupyter Notebooks or any IDE
- How we are fixing our installer for Microsoft R Open on Linux
- Build Your Own Image Similarity Model
- How to operationalize Keras models in Microsoft Machine Learning Server
- Basics of R and Python Execution in SQL Server
- Build Your Own Text Classification Model
- Getting Started with Machine Learning Services in SQL Server
- On-Prem or On the Cloud
- Configuring Microsoft Machine Learning Server 9.3 to Operationalize Analytics using ARM Templates
2017 62
- How to use Tableau with SQL Server Machine Learning Services with R and Python
- Getting Started with Python Web Services using Machine Learning Server
- Configuring Microsoft Machine Learning Server to Operationalize Analytics using ARM Templates
- 1 Million predictions/sec with Machine Learning Server web service
- Amazon's AWS Lambda and Alexa Skill with Microsoft Machine Learning Server Operationalization
- Host chat-bots with Microsoft Machine Learning Server Operationalization
- Enterprise-friendly Java client for Microsoft Machine Learning Server
- Consuming O16N Web Services from Azure Functions
- Simplifying The Use of Azure Data Science Virtual Machine with R
- Importing data with Microsoft R Server
- Encrypting Communication between Web Node and Compute Node in Linux
- Machine Learning Services in SQL Server 2017
- Using R to generate API Client from Swagger
- Managing Loan Credit Risk using Microsoft R Server
- Understanding Server Traffic logs and detecting Denial of Service Attacks
- Set up an auto-scale environment to operationalize your R analytics, with just ONE CLICK
- End to End Loan ChargeOff Prediction Built Using Azure HDInsight Spark Clusters and SQL Server 2016 R Service
- Microsoft R Server 9.1 released on Azure HDInsight
- Using Certificates in R Server Operationalization for Linux
- From DeployR to R Server Operationalization
- Enterprise-grade R package management made easy in SQL Server
- rxExecBy - Productivity and scale with partitioned data
- Using RxOdbcData with Oracle Wallet
- Performance: rxExecBy vs gapply on Spark
- rxExecBy Insights on RxSpark Compute Context
- Using RStudio Server with Microsoft R Server Parcel for Cloudera
- Leveraging Microsoft R and in database analytics of SQL Server with R Services through Alteryx Designer
- Stratified Splitting using rxExecBy
- Microsoft ML on Spark and Hadoop
- Sentiment Analysis with a pre-trained model
- Microsoft R Server support for Rattle
- SQL Saturday 613: Building 1 million predictions per second with R-services and SQL Server 2016
- Running Pleasingly Parallel workloads using rxExecBy on Spark, SQL, Local and Localpar compute contexts
- Image featurization with a pre-trained deep neural network model
- Step by Step Guide to Setup LDAPS on Windows Server
- Role Based Access Control With MRS 9.1.0
- Pre-trained AlexNet model for MicrosoftML's rxNeuralNet
- Feature Engineering using R
- Running MicrosoftML in SQL Server 2016
- Galaxy classification with neural networks: a data science workflow
- 11 ways to deploy R Server on HDInsight Cluster
- Demonstration of capability of applying simple ML and TextMining techniques to perform prediction and draw allied characteristics
- Using R to perform FileSystem Operations on Azure Data Lake Store
- R Server and Shiny
- Getting started with GPU acceleration for MicrosoftML's rxNeuralNet
- Image Segmentation Using MicrosoftML
- mrsdeploy R package - ServiceOption data-dir
- REST Calls using PostMan for R server Operationalization
- REST Calls using PostMan for R server O16N
- Microsoft R Server VMs available in Azure China
- Classify Yelp restaurant reviews’ food origin with MicrosoftML
- Exporting large data using Microsoft R (IDE: RTVS)
- Predicting Hospital Length of Stay (LOS) using SQL Server 2016 with R Services
- Remote Spark Compute Context using PuTTY on Windows
- Microsoft R Server - Using Hive data source in Spark compute context
- Microsoft R Server Operationalization Examples
- Best practices for executing embarrassingly parallel workloads with R Server on Spark
- SQL R Services optimization for concurrent execution of sp_execute_external_script
- Data Transformation in Function rxDataStep
- Predicting NYC Taxi Tips using MicrosoftML
- Using MRS with Teradata: Limitations of Teradata's API and Temporary Constant Columns
- Microsoft R Server 9.0 VMs now support Ubuntu and Korea regions
2016 13
- Microsoft R Server 9.0.1 is Packed with Exciting New Capabilities
- Data Exploration in XDF Files using ScaleR Functions
- Pattern Matching on xdf files in Microsoft R Server
- Importing .dbf files in Microsoft R Server
- Performance Optimization When Using rxExec() to Parallelize Algorithms
- Data Wrangling in XDF files using ScaleR Functions
- Integrating PolyBase with Cloudera using Active Directory Authentication
- Joseph Sirosh's Keynote on 1 Million Predictions Per Second
- SQL R Services optimization for concurrent execution of sp_execute_external_script
- DeployR log rotation to avoid large catalina.out
- MRS Capability Extension: Importing and Exporting Large In-Memory Data Frames
- Understanding Grid Nodes and Slots in DeployR
- Enterprise Security in DeployR 8.0.5