by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Integration architecture focusing on security and access controlConnecting Compute — image by Alexandre Debiève on Unsplash1. IntroductionMicrosoft Fabric and Azure Databricks are both powerhouses in the data analytics field. These platforms can be used end-to-end in...
by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Create a comprehensive AI agent from the ground up utilizing LangChain and DuckDBContinue reading on Towards Data Science » Create a comprehensive AI agent from the ground up utilizing LangChain and DuckDBContinue reading on Towards Data Science » data-analysis,...
by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
How to visualize country borders with PythonContinue reading on Towards Data Science » How to visualize country borders with PythonContinue reading on Towards Data Science » hands-on-tutorials, geopandas, data-visualization, geospatial, borders Towards Data Science...
by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
A strategic guide to build vs. buy for GenAIGenerative AI has been transformational to the world already, and it’s just getting started. It has fast been adopted in multiple industries, from retail to healthcare and banking, offering multiple capabilities ranging from...
by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
Step-by-step from fundamental concepts to training a basic generative modelContinue reading on Towards Data Science » Step-by-step from fundamental concepts to training a basic generative modelContinue reading on Towards Data Science » deep-learning, dataloader,...
by Dr. Owns | Jan 7, 2025 | Analytics, Artificial Intelligence, Data and Information, Decision Support
An overview of feature selection, and presentation of a rarely used but highly effective method (History-based Feature Selection), based on a regression model trained to estimate the predictive power of a given set of featuresWhen working with prediction problems for...
