Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Modelling the mobility of people in a city depends on counting data with inherent problems of overdispersion. Such dispersion issues are caused by massive amounts of data with zero values. Though ...

The conventional mini-batch gradient descent algorithms are usually trapped in the local batch-level distribution information, resulting in the “zig-zag” effect in the learning process. To ...