Symbolic Mathematics in Data Science. Algebra, Calculus, and Geometry with Matlab

[bookbestseller]

Symbolic Mathematics in Data Science. Algebra, Calculus, and Geometry with Matlab
English | 2025 | ISBN: 9798230221722 | 250 pages | EPUB (True) | 11.81 MB
Symbolic mathematics in data science plays a crucial role in enhancing model analysis, optimization, and computation. By leveraging symbolic computation, data scientists can derive exact expressions for key model components (such as gradients, statistical estimators, and probability distributions), leading to more accurate and efficient data-driven solutions. As the complexity of models increases, symbolic mathematics provides the necessary tools to handle them more effectively and extract valuable insights from data.

This book delves into symbolic and graphic work with MATLAB. MATLAB perfectly handles symbolic mathematical computations, manipulating and performing operations on formulae and algebraic expressions with ease. You can expand, factor and simplify polynomials and rational and trigonometric expressions, find algebraic solutions of polynomial equations and systems of equations, evaluate derivatives and integrals symbolically, find solutions of differential equations, manipulate powers, and investigate limits and many other features of algebraic series. MATLAB also develops symbolic matrix calculus. MATLAB can generate two- and three-dimensional graphs, as well as contour and density Descriptions. You can graphically represent data lists, controlling colors, shading and other graphics features. Animated graphics are also supported. Graphics produced by MATLAB are portable to other programs.

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