A Video Walkthrough of Data SGP

Data Sgp is an open-source platform that makes machine learning techniques accessible without writing code. Our user interface (UI) has been carefully designed for all skill levels; new users will benefit from watching our short video walkthrough to understand the core concepts and functions.

SGP makes data access easy by connecting to external data sources and dynamically uploading that information into knowledge bases. SGP comes equipped with several data connectors out of the box; users may also create their own custom data sources if desired.

The SGP UI features two primary sections: Applications home page and knowledge base page. On the Applications home page you’ll be able to see a comprehensive listing of applications available to you in your account as well as access all their core functions. On knowledge base page there’s more in depth knowledge that can be found.

SGP’s Applications page serves as the hub of all of your GenAI use cases. From here you can access and manage models, datasets, knowledge bases in each application as well as creating or editing variants (specific configurations).

Each application can be personalized with your branding and colors, and the SGP dashboard offers an overview of all current GenAI projects. In addition, this helpful dashboard contains useful details about each model project such as its number of models in use or average accuracy rating.

The SGP observatory covers an area of 160 acres located southeast of Lamont, Oklahoma. It consists of an instrumented Central Facility as well as numerous smaller, unmanned facilities which offer continuous observations. Instrumentation ranges from single observation analyses to multi-observation process studies and assimilation into Earth system models; data gathered here is transmitted back to ARM’s Data Center and made freely accessible through Data Discovery.

New Jersey Department of Education (NJDOE) links district course roster submission data with relevant Student Growth Percentile scores to create the median Student Growth Percentile score, or mSGP for short. mSGP scores are converted to median Student Growth Percentile scores which combine with teacher practice evaluation ratings to form an assessment rating of up to two years for teachers qualifying during 2023-2024 school year evaluation ratings.