At each sampling time instant, one observes system output and action to form discrete-time rewards. The sampled input-output data are collected along the trajectory of the dynamical system in ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...