Explores non-linear SVM using kernels for data separation in higher-dimensional spaces, optimizing training with kernels to avoid explicit transformations.
Introduces Linearity of Expectation and the First Moment Method, explores probability theory problems like Buffon's Needle, and discusses transitive tournaments and Ham paths.
Covers the stress-stretch relationship in hyperelasticity, incompressible materials, and solving boundary value problems, with an application in customizing sports shoe stiffness.