There are times to design with parametric features and times to work with free-form versions. A few advantages of designing in 3D solids include associative detail drawings, creating complex features, ...

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...