A Handbook of Mathematical Models with Python
eBook Details:
- Paperback: 144 pages
- Publisher: WOW! eBook (August 30, 2023)
- Language: English
- ISBN-10: 1804616702
- ISBN-13: 978-1804616703
eBook Description:
A Handbook of Mathematical Models with Python: Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques
Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare.
Through this A Handbook of Mathematical Models with Python book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you’ll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning.
- Understand core concepts of mathematical models and their relevance in solving problems
- Explore various approaches to modeling and learning using Python
- Work with tested mathematical tools to gather meaningful insights
- Blend mathematical modeling with machine learning to find optimal solutions to business problems
- Optimize ML models built with business data, apply them to understand their impact on the business, and address critical questions
- Apply mathematical optimization for data-scarce problems where the objective and constraints are known
Ultimately, you’ll be able to apply everything you’ve learned to choose the most fitting methodologies for the business problems you encounter.