Python Finite State Machines made easy.

His research focuses on the evolution and adaptation of process-improvement methodologies as they are being applied across manufacturing, service, office, and public sector contexts. This course is ...

Get on the fast track to make an impact in one of today’s fastest growing fields with a machine learning master’s degree. The machine learning master’s program establishes the theoretical and ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

A time series database management system (DBMS) efficiently handles large volumes of time-stamped data from sensors and ...

For instance, screening for effective catalysts still heavily relies on human-lab-work, a process that is time-consuming. Facing this critical challenge, machine learning (ML) emerges as a promising ...

Another thing to note is that in traditional machine-learning models, the learning process is supervised. That is to say, a human programmer tells the computer what features it should look for in ...

Think about a toolbox for a moment. You have different tools for different jobs. A screwdriver makes a poor hammer, for example. Having the right tool for the right job is just the way things work. So ...

Fatigue failure is a common challenge in machine design. For engineers and designers alike, addressing fatigue failure is key ...

SEVEN engineers behind the rise of the artificial intelligence technologies that are revolutionising industries and ...