Who this book is for
Data scientists, research and development professionals, and business scientists, in general, can gain practical insights into mathematical modeling with Python from this book.
It is assumed that you have knowledge of the following:
- Differential equations
- Linear algebra
- Basics of statistics
- Data types and data structures
- Numerical algorithms
You will learn about the relevance of mathematical models, how interpretability must be factored into models while solving a business problem, and how mathematical optimization and tuning machine learning models are important to arrive at the optimal solution. You will also learn how to choose a model, keeping in mind the cost-effectiveness and efficiency of the underlying algorithm per the business case.
