Introduction to Data Science Using Python is an online course provided by Harvard University via the edX platform. The course ...

Conduct Bayesian data analysis with step-by-step guidance Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling Enhance your learning with best practices ...

Supporting code for Modeling and Simulation in Python. This and other Free Books by Allen Downey are available from Green Tea Press. You can run the code from the ...

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based ...

Book Abstract: Sequential decision problems arise in virtually every human process. They span finance, energy, transportation, health, e-commerce, and supply chains and include pure learning problems ...

Monitoring and extracting trends from web content has become essential for market research, content creation, or staying ahead in your field. In this tutorial, we provide a practical guide to building ...

Goal-driven deep learning increasingly supplements classical modeling approaches in computational neuroscience. The strength of deep neural networks as models of the brain lies in their ability to ...

German software company PVRadar Labs has released a Python programming package for solar asset owners and engineers that want to build site-specific models. German software company PVRadar Labs has ...