The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

Be a part of the climate solution using data and advanced technologies to inform decisions. Identify key patterns in temperature changes, water levels and species populations. Guide policy towards ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

In this special feature, Daniel D. Gutierrez, Managing Editor of insideAI News discusses a question on many people’s minds these days – is an advanced degree required to become a data scientist and if ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

This course covers nonparametric modeling of complex, nonlinear predictive relationships in data with categorical (classification) and numerical (regression) response variables. Supervised learning ...

The world as we know it has been transformed by AI, but perhaps no field has been more profoundly affected than analytics and data science. While traditional data science practices have paved the way ...

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...