По информации агентства ТАСС, сотрудники Пермского государственного национального исследовательского университета (ПГНИУ) разработали компьютерную программу, с...

RBloggers|RBloggers-feedburner
Intro: For a long time I have found it difficult to appreciate the benefits of “cloud compute” in my R model builds. This was due to my initial lack of understanding and the setting up of R on cloud compute environments. When I noticed that AWS was bringing out a new product AWS Sagemaker, the possiblities of what it could provide seemed like a dream come true.
Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Automate explanation of machine learning predictive models.
 This package generates advanced interactive and animated model explanations in the form
 of a serverless HTML site. It combines R with D3.js to produce plots and descriptions
 for various local and global explanations. Tools for model exploration unite with
 tools for EDA (Exploratory Data Analysis) to give a broad overview of the model behaviour.
 modelStudio is a fast and condensed way to get all the answers without much effort.
 Break down your model and look into its ingredients with only a few lines of code.