Linear Algebra

Name: Linear Algebra
Brand: Amazon Digital Services LLC - Kdp
SKU: 9789083136608-V
Price: 14.79 EUR
Availability: InStock
Rating: 5 (1 reviews)

By Cohen, Mike X

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Description

Are you ready to dive into the vibrant world of linear algebra and learn how it powers real-world applications? Welcome to this comprehensive textbook, where traditional theory meets modern computational practices. Linear algebra is the magic behind many computational sciences -- machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and more. But here's a secret: the way it's taught in traditional textbooks isn't how professionals use it in the field. For instance, have you ever wondered about the practical importance of a matrix's "determinant"? You might be in for a surprise! This book bridges the gap between theoretical understanding and practical application, showing you not only the "what" but also the "how" of implementing linear algebra in real-world scenarios. What makes this book a must-have resource?- Crystal-clear explanations of linear algebra concepts and theories.- Multiple angles to explain ideas, a proven technique to help cement your understanding.- Vivid graphical visualizations to enhance your geometric intuition of linear algebra.- Real-world implementations in MATLAB and Python. After all, in today's world, you seldom solve math problems by hand. Software is the way forward!- A range of topics from beginner to intermediate levels, including vectors, matrix multiplications, least-squares projections, eigendecomposition, and singular-value decomposition.- Emphasis on the application-oriented aspects of linear algebra and matrix analysis.- Intuitive visual explanations of diagonalization, eigenvalues and eigenvectors, and singular value decomposition.- Ready-to-use codes in MATLAB and Python to bring linear algebra concepts to life on your computer. All codes can be downloaded from https: //github.com/mikexcohen/LinAlgBook.- A unique blend of hand-solved exercises and advanced code challenges. Remember, math is not a spectator sport! Whether you're just starting your journey in linear algebra or seeking to apply these concepts to data analyses on computers (such as data science, machine-learning, or signal processing), this book is your go-to guide. With this book at your side, you won't just learn linear algebra; you'll experience it!

Product details

Binding:: Paperback
Languages:: Original: English
Number of Pages:: 587
Publisher:: Amazon Digital Services LLC - Kdp
Publication Date:: 2021-02-01
ISBN / EAN:: 9789083136608
Weight:: 1033 g
Dimensions:: 19/24/3 cm

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