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What is SAS Visual Machine Learning?

Employ a comprehensive set of SAS tools to access, handle, analyze, and present data in visual formats. By using SAS Visual Machine Learning, organizations can significantly boost their analytical skills through integrated machine learning and deep learning functionalities that improve visualization and reporting methods. This strategy empowers users to visually identify and reveal significant connections within their data sets. Furthermore, the platform enables the development and dissemination of interactive reports and dashboards, while also allowing for self-service analytics that quickly assess possible outcomes, encouraging more informed, data-driven decision-making. Users have the capability to explore their data deeply and build or adjust predictive models in the SAS® Viya® environment. Enhanced collaboration among data scientists, statisticians, and analysts allows for the ongoing refinement of models tailored to particular segments or demographics, ensuring that decisions are made based on accurate insights. Additionally, the user-friendly visual interface streamlines the resolution of complex analytical issues, effectively managing all aspects of the analytics lifecycle while fostering a cooperative atmosphere for all participants. This collaborative framework not only enhances the efficiency of the analytical process but also leads to more innovative and effective solutions in data interpretation.

What is IDL?

IDL software is a dependable programming language widely used in scientific disciplines for converting complex numerical data into meaningful visual representations. It provides a powerful computing environment suitable for both creating small analytical tools and developing extensive applications, which is vital for extracting insights from data. Analyzing intricate numerical datasets is essential for driving scientific discovery and innovation. When your work revolves around making groundbreaking discoveries, utilizing an effective tool to interpret and harness your data becomes crucial; you need a solution that reveals the valuable insights hidden within your datasets. By adopting an advanced programming language, you can transform raw figures into captivating visual presentations, which aids in data analysis, speeds up the discovery process, and helps you bring impactful applications to market. Moreover, the right software not only enhances your capacity for making informed, data-driven decisions but also plays a significant role in propelling advancements within your industry. In essence, the effective use of such software can lead to transformative changes in how research and development are approached in various scientific arenas.

Media

Media

Integrations Supported

Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
PowerPoint
SAS Visual Statistics
SAS Viya
Visual Studio

Integrations Supported

Microsoft 365
Microsoft Excel
Microsoft Outlook
Microsoft Word
PowerPoint
SAS Visual Statistics
SAS Viya
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Company Location

United States

Company Website

support.sas.com/en/software/visual-machine-learning.html

Company Facts

Organization Name

Harris Geospatial Solutions

Date Founded

1977

Company Location

United States

Company Website

www.l3harrisgeospatial.com/Software-Technology/IDL

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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