**What is this document about?**
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:math:`\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**).  

:math:`\textbf {2.}` The second chapter explains how to solve a **multi-Physics** problem using FEM. 

:math:`\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. 

:math:`\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.

:math:`\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.

:math:`\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.

:math:`\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.