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Can I read A Handbook of Mathematical Models with Python : Elevate Your Machine Learning Projects with NetworkX, PuLP, and Linalg on EtoBox?
A Handbook of Mathematical Models with Python : Elevate Your Machine Learning Projects with NetworkX, PuLP, and Linalg by Dr. Ranja Sarker is a nonfiction available to read on EtoBox.
What is A Handbook of Mathematical Models with Python : Elevate Your Machine Learning Projects with NetworkX, PuLP, and Linalg about?
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 al
Who reads A Handbook of Mathematical Models with Python : Elevate Your Machine Learning Projects with NetworkX, PuLP, and Linalg?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dr. Ranja Sarker
- Publisher
- Packt Publishing Pvt Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9781804616703
- Category
- nonfiction
- Subjects
- Technology, Science, Computer Science
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