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Science & Mathematics - Linear Algebra for Everyone (The Gilbert Strang Series)

Description

Book Synopsis: Linear algebra has become the subject to know for people in quantitative disciplines of all kinds. No longer the exclusive domain of mathematicians and engineers, it is now used everywhere there is data and everybody who works with data needs to know more. This new book from Professor Gilbert Strang, author of the acclaimed Introduction to Linear Algebra, now in its fifth edition, makes linear algebra accessible to everybody, not just those with a strong background in mathematics. It takes a more active start, beginning by finding independent columns of small matrices, leading to the key concepts of linear combinations and rank and column space. From there it passes on to the classical topics of solving linear equations, orthogonality, linear transformations and subspaces, all clearly explained with many examples and exercises. The last major topics are eigenvalues and the important singular value decomposition, illustrated with applications to differential equations and image compression. A final optional chapter explores the ideas behind deep learning.

Details

Unlock the power of linear algebra with "Linear Algebra for Everyone" by Professor Gilbert Strang. In today's data-driven world, understanding linear algebra is crucial for anyone working with data. Whether you're in finance, computer science, or any quantitative field, this book will equip you with the essential knowledge you need to excel. With its accessible approach, it's perfect for both beginners and those with previous mathematical experience.

Experience a fresh perspective on linear algebra as Professor Strang takes you on a journey from basic concepts to advanced applications. Starting with independent columns of small matrices, you'll quickly grasp fundamental concepts such as linear combinations and rank and column space. Through clear explanations, real-world examples, and practical exercises, you'll gain a solid foundation in solving linear equations, orthogonality, linear transformations, and subspaces.

Go beyond the basics and dive into eigenvalues and the powerful singular value decomposition. Professor Strang provides insightful applications of these concepts to differential equations and image compression, revealing their real-world implications. As a bonus, discover the captivating world of deep learning in an optional final chapter, exploring the cutting-edge ideas driving this revolutionary field.

Don't miss your chance to master linear algebra, the essential tool for data analysis and problem-solving. Join countless learners who have benefited from Professor Strang's teaching and get your copy of "Linear Algebra for Everyone" today. Click here to order now.

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