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Linear Algebra: Theory, Intuition, Code
90% of respondents would recommend this to a friend
HKD 391
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- 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!
| Publisher | Sincxpress BV |
| Publication date | 1 Feb. 2021 |
| Language | English |
| Print length | 587 pages |
| ISBN-10 | 9083136604 |
| ISBN-13 | 978-9083136608 |
| Item weight | 1.03 kg |
| Dimensions | 18.9 x 3.38 x 24.61 cm |
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Algebra Editorial Review
Linear Algebra Theory, Intuition, Code is an engaging resource published by Sincxpress BV, offering a thorough exploration of linear algebra across its 587 pages. Readers have noted its accessible explanations and gentle approach to complex mathematical concepts, making it suitable for individuals revisiting math after years. The book strikes a balance by combining mathematics, statistics, and programming, enriching the learning experience. Many reviewers appreciate the author's talent for clarity, contrasting with traditional textbooks. Its measured pacing and ease of understanding provide a supportive learning environment for those willing to grasp linear algebra's intricacies.
Customer Reviews & Ratings
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優點
- Engaging and easy-to-follow explanations
- Clear and approachable writing style
- Combines mathematics with programming concepts
- Suitable for revisiting math skills
- Highly recommended by many readers
缺點
- Early chapters may not appeal to all learning styles
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HKD 391
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