Book Description: Mathematical Methods in Data Science Jingli Ren January 25, 2023 Jingli Ren Genre: Non-Fiction, Technology, Data Science Summary: In today's world, data science has become an integral part of our daily lives, from social media to healthcare, finance, and education. With the rapid evolution of technology, it is essential to understand the process of technological advancements and their impact on humanity. In his book "Mathematical Methods in Data Science [author name] presents a comprehensive guide to the mathematical tools used in data science, highlighting the need for a personal paradigm to perceive the technological process of developing modern knowledge as the basis for human survival. The book covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability, and differential equations. The author introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for data analysis and prediction. This approach makes the book accessible to researchers and graduate students in mathematics and data science, providing clear explanations of advanced mathematical concepts, especially data-driven differential equations. The book includes examples and problems arising in data science, making it an excellent resource for those looking to deepen their understanding of mathematical methods in data science. With the increasing use of data science in various fields, this book is a must-read for anyone looking to stay up-to-date with the latest developments in the field. Introduction: In the modern world, technology has become an integral part of our daily lives.

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