Non-linear workdays help shift work from being activity focused to being outcomes focused, she adds. “It becomes not about when or where you work, but about getting the work done.

Course TopicsIn many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input. For this, you also need non-linear thresholding functions that adjust ...

Non-parametric regression is a type of regression that does not require any assumptions about the form of the relationship between the response variable and predictor variables. This allows for more ...

Non-linear workdays help shift work from being activity focused to being outcomes focused, she adds. “It becomes not about when or where you work, but about getting the work done.