Why marketing mix modeling is still hard to get right

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

Simplilearn Launches Professional Certificate in Data Analytics & GenAI With UC Santa Barbara Professional and Continuing Education

Simplilearn, a global leader in digital upskilling, in collaboration with UC Santa Barbara Professional and Continuing Education (UCSB PaCE), has launched the Professional Certificate in Data ...
Microsoft

Copilot in Excel: Built for the era of Frontier Finance

There’s a pattern to how new technology reaches the world. Wave after wave, from the PC to the relational database to the cloud, new technology reaches developers first, and finance is often next. For ...
The Amazing Times on MSN

12 remote entry-level jobs that actually pay $25 an hour or more

Twelve remote entry-level jobs pay at least $25 an hour, backed by current Bureau of Labor Statistics data. The post 12 Remote Entry-Level Jobs That Actually Pay $25 an Hour or More appeared first on ...
GitHub

ZEVAMPY: Zero-Emission Vehicle Adoption Model in Python

ZEVAMPY is an open-source Python framework for modelling vehicle fleet evolution using empirical survival rates and new vehicle registration scenarios. The framework estimates cumulative survival ...
Microsoft

Copilot’s agentic capabilities in Word, Excel, and PowerPoint are generally available

Today, I am excited to share that agentic capabilities in Word, Excel, and PowerPoint are now generally available. Copilot can take multi-step, app-native actions directly in your documents, ...
IEEE

Predictive State-Aware Deep Reinforcement Learning With Hyper-Heuristic for Resolving Conflicting Objectives in Scientific Workflow Scheduling

Abstract: Scientific workflows in cloud environments are highly complex and dynamic, necessitating intelligent and flexible scheduling solutions to handle important factors, including resource ...
IEEE

Predictive Modelling of Type 2 Diabetes via Glucose-Insulin Interactions Using Machine Learning Techniques

Abstract: A metabolic disorder, Type 2 Diabetes (T2D), where the human body unable to utilize and store glucose properly, results from chronically increased blood glucose (BG) levels. In particular, ...
GitHub

DGWhittaker/nottingham_covid_modelling

This folder contains a python implementation of a SItD (susceptible-infected-deceased) compartmental epidemiological model structured by infectious age. The code ...