Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

Manufacturing execution systems (MES) generate mountains of data. Deciphering the data, however, often consumes hours daily.