This repository contains materials and projects developed during the Data Analytics course, with a focus on Bayesian statistical modeling and simulation-based inference using Python. The course ...

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data ...

In theUSA, a country where data has long been dubbed the new oil of the 21st century, Data Analytics services are unlocking thrilling horizons for business and technology. Here, amid Silicon Valley’s ...

If you're facing pushback from traditionalists in your startup who doubt the value of data analytics, it's essential to demonstrate its benefits in a language they understand. Data analytics isn't ...

In an age where data drives decision-making across industries, the ethical implications of advanced analytics are more significant than ever. Lokeshkumar Madabathula, a researcher in the field of data ...

IBM's Introduction to Data Analytics course on Coursera provides a comprehensive introduction to the field of data analysis. The course is designed for beginners and does not require any prior ...

A PyTorch-based Bayesian Network framework designed to handle continuous data, enabling continuous inference with continuous CPDs. It leverages GPU acceleration and batch operations, and is intended ...

In this paper, we propose a sparse Bayesian learning (SBL) unfolding network for superior and efficient DoA estimation. Specifically, the SBL framework is unfolded into a series of cascaded SBL layers ...

Naveen Edapurath Vijayan is a Sr Manager of Data Engineering at AWS, specializing in data analytics and large-scale data systems. Artificial intelligence (AI) is transforming the way businesses ...