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The **10 Best Mathematical Matrices Books **list have been recommended not only by normal readers but also by experts.

You’ll also find that these are top-ranking books on the US Amazon Best Sellers book list for the **Mathematical Matrices category of books**.

If any of the titles interest you, I’d recommend checking them out by clicking the “Check Price” button. It’ll take you to the authorized retailer website, where you’ll be able to see reviews and buy it.

Let’s take a look at the list of **10 Best Mathematical Matrices Books**.

## 10 Best Mathematical Matrices Books

Now, let’s dive right into the list of **10 Best Mathematical Matrices Books**, where we’ll provide a quick outline for each book.

### 1. Humble Math – 100 Days of Timed Tests: Addition and Subtraction: Grades K-2, Math Drills, Digits 0-20, Reproducible Practice Problems by Humble Math Review Summary

### 2. Special Relativity and Classical Field Theory: The Theoretical Minimum by Leonard Susskind Review Summary

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Special Relativity and Classical Field Theory: The Theoretical Minimum
The third volume in the bestselling physics series cracks open Einstein’s special relativity and field theory Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein’s special relativity and Maxwell’s classical field theory. Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It’s a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics’ deepest truths.

### 3. Data Analytics for Absolute Beginners: Make Decisions Using Every Variable: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning) by Oliver Theobald Review Summary

Data Analytics for Absolute Beginners: Make Decisions Using Every Variable: (Introduction to Data, Data Visualization, Business Intelligence & Machine Learning)
## Make better decisions using every variable with this deconstructed introduction to data analytics. ### While exposure to data has become a daily ritual for the rank-and-file knowledge worker, true understanding–treated in this book as data literacy– is knowing what’s in the data. Everything, from the data’s source to the specific choice of variables, algorithm, and visualization shapes the data and molds its journey from raw data to business insight. It’s important to learn the terms and basic concepts – just like basic accounting and financial literacy for being a successful decision-maker in the business world. This book is ideal for anyone who is interested in making sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages. ## Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence

### 4. The Math of Neural Networks by Michael Taylor Review Summary

The Math of Neural Networks
There are many reasons why neural networks fascinate us and have captivated headlines in recent years. They make web searches better, organize photos, and are even used in speech translation. Heck, they can even generate encryption. At the same time, they are also mysterious and mind-bending: how exactly do they accomplish these things ? What goes on inside a neural network? On a high level, a network learns just like we do, through trial and error. This is true regardless if the network is supervised, unsupervised, or semi- supervised. Once we dig a bit deeper though, we discover that a handful of mathematical functions play a major role in the trial and error process. It also becomes clear that a grasp of the underlying mathematics helps clarify how a network learns. In the following chapters we will unpack the mathematics that drive a neural network. To do this, we will use a feedforward network as our model and follow input as it moves through the network.

### 5. Special Relativity and Classical Field Theory: The Theoretical Minimum by Leonard Susskind Review Summary

Special Relativity and Classical Field Theory: The Theoretical Minimum
The third volume in the bestselling physics series cracks open Einstein’s special relativity and field theory Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein’s special relativity and Maxwell’s classical field theory. Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It’s a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics’ deepest truths.

### 6. Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality by J. B. Kuipers Review Summary

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Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerospace and Virtual Reality
Ever since the Irish mathematician William Rowan Hamilton introduced quaternions in the nineteenth century–a feat he celebrated by carving the founding equations into a stone bridge–mathematicians and engineers have been fascinated by these mathematical objects. Today, they are used in applications as various as describing the geometry of spacetime, guiding the Space Shuttle, and developing computer applications in virtual reality. In this book, J. B. Kuipers introduces quaternions for scientists and engineers who have not encountered them before and shows how they can be used in a variety of practical situations. The book is primarily an exposition of the quaternion, a 4-tuple, and its primary application in a rotation operator. But Kuipers also presents the more conventional and familiar 3 x 3 (9-element) matrix rotation operator. These parallel presentations allow the reader to judge which approaches are preferable for specific applications. The volume is divided into three main parts. The opening chapters present introductory material and establish the book’s terminology and notation. The next part presents the mathematical properties of quaternions, including quaternion algebra and geometry. It includes more advanced special topics in spherical trigonometry, along with an introduction to quaternion calculus and perturbation theory, required in many situations involving dynamics and kinematics. In the final section, Kuipers discusses state-of-the-art applications. He presents a six degree-of-freedom electromagnetic position and orientation transducer and concludes by discussing the computer graphics necessary for the development of applications in virtual reality.

### 7. I'm a Math Teacher Of Course I Have Problems: Journal with Lined and Blank Pages for Funny Math Teacher Appreciation Gift by Teacher Appreciation Quotes and… Review Summary

I'm a Math Teacher Of Course I Have Problems: Journal with Lined and Blank Pages for Funny Math Teacher Appreciation Gift
Show an awesome Math Teacher how much you appreciate their hard work with this funny Math Teacher quote. This journal has half lightly lined pages and half blank pages – perfect for classroom notes, lists, math problems, ideas or doodles. Features: Lines on one side, blank on the opposite side Soft matte cover with blackboard and chalk funny teacher quote. Size is 6×9 perfect for purses, bags or desks. This under ten dollar gift for teachers is a perfect for: Math Teacher appreciation week gift End of year teacher gift Teacher Christmas gift Teacher gift for men Teacher gift for women Mom or Dad Math Teacher math professor gifts Math Teacher Gifts under $10 Math Teacher retirement gifts Your math teacher will appreciate this thoughtful notebook. Please don’t give your math teacher yet another mug or candy! Give them something practical and memorable! Cover: Chalkboard background with Chalk quote: “I’m a Math Teacher of Course I Have Problems” with Math Problems surrounding the funny math quote.

### 8. Special Relativity and Classical Field Theory: The Theoretical Minimum by Leonard Susskind Review Summary

Special Relativity and Classical Field Theory: The Theoretical Minimum
The third volume in the bestselling physics series cracks open Einstein’s special relativity and field theory Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein’s special relativity and Maxwell’s classical field theory. Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It’s a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics’ deepest truths.

### 9. Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences) by Gene H. Golub Review Summary

Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice. The fourth edition of Gene H. Golub and Charles F. Van Loan’s classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this book to be an indispensible tool. This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on â€¢ fast transforms â€¢ parallel LU â€¢ discrete Poisson solvers â€¢ pseudospectra â€¢ structured linear equation problems â€¢ structured eigenvalue problems â€¢ large-scale SVD methods â€¢ polynomial eigenvalue problems Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literatureâ€•everything needed to become a matrix-savvy developer of numerical methods and software. The second most cited math book of 2012 according to MathSciNet, the book has placed in the top 10 for since 2005.

### 10. Coding the Matrix: Linear Algebra through Applications to Computer Science by Philip N. Klein Review Summary

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Coding the Matrix: Linear Algebra through Applications to Computer Science
An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing , writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google’s ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function , The Field , The Vector , The Vector Space , The Matrix , The Basis , Dimension , Gaussian Elimination , The Inner Product , Special Bases , The Singular Value Decomposition , The Eigenvector , The Linear Program