A Handbook of Mathematical Models with Python
Elevate your machine learning projects with NetworkX, PuLP, and linalg
- 144 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Handbook of Mathematical Models with Python
Elevate your machine learning projects with NetworkX, PuLP, and linalg
About this book
Master the art of mathematical modeling through practical examples, use cases, and machine learning techniques
Key Features
- Gain a profound understanding of various mathematical models that can be integrated with machine learning
- Learn how to implement optimization algorithms to tune machine learning models
- Build optimal solutions for practical use cases
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
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 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.Ultimately, you'll be able to apply everything you've learned to choose the most fitting methodologies for the business problems you encounter.
What you will learn
- 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
Who this book is for
If you are a budding data scientist seeking to augment your journey with mathematics, this book is for you. Researchers and R&D scientists will also be able to harness the concepts covered to their full potential. To make the best use of this book, a background in linear algebra, differential equations, basics of statistics, data types, data structures, and numerical algorithms will be useful.
]]>
Trusted by 375,005 students
Access to over 1 million titles for a fair monthly price.
Study more efficiently using our study tools.
Information
Table of contents
- A Handbook of Mathematical Models with Python
- Contributors
- Preface
- Part 1:Mathematical Modeling
- 1
- 2
- Part 2:Mathematical Tools
- 3
- 4
- 5
- 6
- 7
- 8
- Part 3:Mathematical Optimization
- 9
- 10
- Index
- Other Books You May Enjoy
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app