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Microsoft Releases R Tools for Visual Studio 0.5 and 2 New Data Science Utilities

R Tools for Visual Studio 0.5 is now available includes integrated support for SQL and SQL Stored Procedures as well as multiple plot windows and plot history with plot thumbnails for navigation.

In addition, to general improvements and bug fixes. With RTVS 0.5 you can, “create multiple simultaneous plots (especially great if you have multiple monitors!),” as well as you can also “create multiple plot devices and move/copy plots between them,” the team esplains.

You can also view thumbnails of your plots for quick navigation (random access to plots).

If you already have Visual Studio 2015 installed, you can download RTVS 0.5 here.

Here’s a quick video overview of the plotting improvements:

Two data science utilities are now available through GitHub helping boost productivity: Interactive Data Exploration, Analysis and Reporting (IDEAR), and Automated Modeling and Reporting (AMAR).

IDEAR helps data scientists explore, visualize and analyze data, and helps provide insights into the data in an interactive manner. Some unique IDEAR features include: “Automatic Variable Type Detection, Variable Ranking and Target Leaker Identification, and Visualizing High-Dimensional Data.”

AMAR on the other hand, is a customizable tool to train machine learning models with hyper-parameter sweeping, compare accuracy of those models and look at variable importance. With virtually no setup and coding effort, “the modeling report can provide an initial assessment of the prediction accuracy of several commonly used machine learning approaches.” When AMAR is finished, a standard HTML model report is compiled and displays the following information:

  • A view of the top few rows of the dataset used for training
  • The training formula used to create the models
  • The accuracy of various models (AUC, RMSE, etc.), and a comparison of the same, i.e. if multiple models are trained
  • Variable importance ranking, explains team.

Both IDEAR and AMAR are available by cloning this GitHub repository.

two new data science utilities on GitHub

Microsoft has made a major breakthrough in speech recognition, creating a technology that understands a conversation as well as a person does.

“The researchers reported a word error rate (WER) of 5.9 percent, down from the 6.3 percent WER the team reported just last month,” Microsoft writes. Adding, “5.9 percent error rate is about equal to that of people who were asked to transcribe same conversation,” and “it’s the lowest ever recorded against the industry standard Switchboard speech recognition task,” Microsoft added.

Check out this Microsoft Artificial Intelligence and Research’s research paper.

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