Ranja Sarkar

A Handbook of Mathematical Models with Python (eBook, ePUB)

Elevate your machine learning projects with NetworkX, PuLP, and linalg

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 144
• Erscheinungstermin: 30. August 2023
• Englisch
• ISBN-13: 9781804617069
• Artikelnr.: 70224896

Autorenporträt

Dr. Ranja Sarkar has extensive experience in both the academic and corporate sectors, encompassing physical and mathematical sciences and data science. Previously a data science consultant at Shell, Dr. Sarkar is currently a delivery manager for data science at TheMathCompany.