BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
Venn isolates and protects work from any personal use on the same computer, whether BYO or company issued.
Venn is a secure workspace for remote work that isolates and protects work from any personal use on the same computer. Work lives in a secure local enclave that is company controlled, where all data is encrypted and access is managed. Within the enclave – visually indicated by the Blue Border around these applications – business activity is walled off from anything that happens on the personal side. As a result, work and personal uses can now safely coexist on the same computer.
LSA runs based on C++ for Gibbs samplers and R / Rcpp for data preprocessing and posterior sample analysis. The Tempest depends on the Stan math library. We should build the Stan math library, and then you can build the executable.
LSA-Bot is a new, powerful kind of Chat-bot incentred on Latent Semantic Analisys. Using LSA it's possible to make relationships among words and vectors, permitting to realize an intelligent chat-bot that can understand human language and answer as
We help different businesses become digital, manage projects, teams, communicate effectively and control tasks online.
Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
Latent Semantic Analysis extension for PHP. This php extension is ment to perform small scale LSA expermements like providing related content, document mapping or tuning LSA parameters in a loop.
This prototype uses Latent Sementic Analysis (LSA) to calculate a similarity between content in a portfolio and content in a course/learning network. The web-service is build on top of the Latent Semantic Analysis extension for PHP (http://phplsa.sourcef