Overview
Explore the art of mathematical modeling and its vital role in solving complex business problems with "A Handbook of Mathematical Models with Python." Through this book, you'll learn the fundamentals of such modeling, diving deep into optimization and the integration of machine learning techniques.
What this Book will help me do
- Gain proficiency in designing mathematical models to solve data-driven problems.
- Master specific mathematical tools like optimization and graph theory using Python packages like NetworkX and PuLP.
- Learn to blend mathematical modeling with machine learning to create practical, interpretable solutions.
- Explore comprehensive case studies showcasing the synergy between algorithms and mathematics.
- Develop the ability to adapt and implement these methods into real-world applications efficiently.
Author(s)
Ranja Sarkar is an experienced researcher specializing in data science, mathematical modeling, and optimization. With a rich academic and practical expertise, Ranja creates accessible content for learners eager to merge machine learning with rigorous analytics. Her approachable teaching style demystifies complex topics, making them meaningful and applicable.
Who is it for?
This book is ideal for emerging data scientists looking to enhance their analytical skills, as well as seasoned professionals seeking to refine their expertise in mathematical modeling and machine learning integration. A familiarity with linear algebra and statistics is recommended.
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