What is this document about?

\(\textbf {1.}\) The first chapter talks about the concepts of some hyperelastic material models and compares the analytical solutions with the numerical results based on finite element method (FEM).

\(\textbf {2.}\) The second chapter explains how to solve a multi-Physics problem using FEM.

\(\textbf {3.}\) This chapter presents and solve an example to illustrate how a multi-Physics model could be used for simulation of enhanced drug delivery.

\(\textbf {4.}\) In this chapter, details of Differential Evolution optimization algorithm will be described and an example will be implemented in Python and C++ programming languages.

\(\textbf {5.}\) This chapter discusses fundamentals of Linear Regression which is a supervised machine learning technique and solves an example by implementing the algorithm in C++ using two different approaches.

\(\textbf {6.}\) This chapter presents the theory of a supervised machine learning technique (Linear Discriminant Analysis) and goes over an example to demonstrate how it could be used in disease diagnosis.

\(\textbf {7.}\) This chapter introduces Neural Networks and goes through the step-by-step details of the mathematical framework to explain how a neural network is trained. The implementation of the algorithm in a computer code will be presented at the end.