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Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Mathematical Explorations with MATLAB
Mathematical Explorations with MATLAB

Mathematical Explorations with MATLAB examines the mathematics most frequently encountered in first-year university courses. A key feature of the book is its use of MATLAB, a popular and powerful software package. The book's emphasis is on understanding and investigating the mathematics by putting the mathematical tools into practice in a...

A Beginner's Guide to Discrete Mathematics
A Beginner's Guide to Discrete Mathematics

Wallis's book on discrete mathematics is a resource for an introductory course in a subject fundamental to both mathematics and computer science, a course that is expected not only to cover certain specific topics but also to introduce students to important modes of thought specific to each discipline . . . Lower-division undergraduates...

Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)
Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)

Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problems, and...

Handbook of Matrices
Handbook of Matrices
Nowadays matrices are used in many fields of science, Accordingly they have become standard tools in statistics, econometrics, mathematics, engineering and natural sciences textbooks, In fact, many textbooks from these fields have chapters, appendices or sections on matrices, Often collections of those results used in a book are included, Of...
Introduction to Linear Algebra, Third Edition
Introduction to Linear Algebra, Third Edition

This informally written text provides students with a clear introduction into the subject of linear algebra. Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying...

MATLAB Linear Algebra
MATLAB Linear Algebra

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

An Introduction to Matrices, Sets and Groups for Science Students
An Introduction to Matrices, Sets and Groups for Science Students
THIS book is written primarily for undergraduate students of science and engineering, and presents an elementary introduction to some of the major branches of modern algebra - namely, matrices, sets and groups. Of these three topics, matrices are of especial importance at undergraduate level, and consequently more space is devoted to their study...
MATLAB Matrix Algebra (Matlab Solutions)
MATLAB Matrix Algebra (Matlab Solutions)

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Matrix Methods, Third Edition: Applied Linear Algebra
Matrix Methods, Third Edition: Applied Linear Algebra

Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is...

Numerical Analysis Using MATLAB and Excel (Third Edition)
Numerical Analysis Using MATLAB and Excel (Third Edition)

This text includes the following chapters and appendices: Introduction to MATLAB, Root approximations, Sinusoids and complex numbers, Matrices and determinants, Review of differential equations, Fourier, Taylor, and Maclaurin series, Finite differences and interpolation, Linear and parabolic regression, Solution of differential equations by...

Error-Correcting Linear Codes: Classification by Isometry and Applications
Error-Correcting Linear Codes: Classification by Isometry and Applications

This text offers an introduction to error-correcting linear codes for graduate students in mathematics, computer science and engineering and researchers. The book differs from other standard texts in its emphasis on the classification of codes by means of isometry classes. The relevant algebraic concepts like finite fields and group actions are...

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