Essential Mathematics for Computer and Data Scientists
LA4CS
Essential Math for CS
An enjoyable and readable textbook on mathematics, LA4CS introduces the essential concepts and practice of Linear Algebra to the undergraduate student of computer science.
The focus of this book is on the elegance and beauty of the numerical techniques and algorithms originating from Linear Algebra. As a practical handbook for computer and data scientists, LA4CS restricts itself mostly to real fields and tractable discourses, rather than deep and theoretical mathematics.
The full book is available for download as a PDF file. For free. No strings attached.
Or you can read the whole book as a flip book.
Free Edition: About 280 pages. Contains all the text and examples, but not exercises and their solutions. Freely downloadable.
Full Edition: About 340 pages. Contains everything in the free version plus chapter summaries, exercises and solutions. Buy it for $7.95
Solution Manual: About 100 pages. Only the chapter summaries, exercises and solutions. (Full Version minus the Free one) Get it for $4.95
Welcome to the Wonderful World of Linear Algebra!
In today’s age of machine learning and artificial intelligence, Linear Algebra is the branch of mathematics that holds the most relevance to computing.
Why learn Linear Algebra in computer science and data analytics? Its role is similar to that of the alphabet or vocabulary or grammar in learning a language. If we want to be a writer, for instance, we have to be good at all these aspects of the language of our choice. Having these background skills alone is not enough; it will not make us a writer. But what is absolutely certain is that without these skills, we will never be a writer, not a good one at any rate. Linear Algebra, in much the same way, is really the basic backdrop of several of the pivotal numerical algorithms in computer science and machine learning.
Lecture Videos (from the course for which this book was written)
Manoj Thulasidas is an Associate Professor of Computer Science (Education) who teaches Data Analytics and Linear Algebra to undergraduate students of computer science and information systems at Singapore Management University.
His other works include The Unreal Universe, an inquiry into the philosophical underpinnings of physics (from his career as a physicist at CERN in Geneva) and Principles of Quantitative Development, a practitioner’s guide to the lucrative profession of quantitative finance (from his experiences as a quant in Singapore).
An inquiry into the realness of our reality. Are space and time modes by which we think or conditions in which we live? Why is the speed of light so special in our space and time?
The primary objective of Unreal Blog is to entertain you with quality writing. Accidentally discovered and carefully cultivated, my writing skill has seen a measure of success in newspapers and magazines around the world. Unreal Blog promote a skeptical worldview and makes you look at everything from a slightly different perspective. It really does aim to change the way the reader looks at the world!
