![]() One of the strengths of this book is the way it presents the subject in a concise and precise manner. The book attempts to create a geometric interpretation of linear algebra and its theoretical foundations, making it the perfect tool to supplement the studies of university students in particular. The author of the No Bullshit Guide to Linear Algebra, Ivan Savov, utilizes his 15-year experience as a lecturer to paint linear algebra as a cornerstone of engineering and science that is key to the development of computer graphics, machine learning, and quantum mechanics. ![]() ![]() Publisher: OUP Oxford 1 edition (October 31, 2013).Readers don’t have a bad word to say about the book and love the interesting facts they learn as they read. Each chapter opens with a short biography of a leading player in the field of linear algebra who relates to the context being discussed within, and these-coupled with interviews with leading experts-ensure your understanding expands from the math to the state of the field as a whole. Linear Algebra is one of the most dynamic mathematics textbooks ever. The exercises themselves are designed to test your understanding of each section, drawn from past questions in college examinations, and geared towards boosting your confidence with the wording and style used ahead of the real deal. The major strength of this book is in the number of examples it presents step-by-step to make the operations as easy to follow as possible, and the fact that the solutions to problems are all available online, making it the perfect companion for self-guided study or distance learners. ![]() Linear Algebra by Kuldeep Singh is arguably one of the best texts on linear algebra out there, with the author offering a broad outlook covering its applications in many fields, including business, computer science, and engineering, with some interesting exposition on how Google makes use of linear algebra to rank search results. ![]()
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