Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
Mathematics is an essential toolset for data
scientists. By mastering these mathematical concepts, data scientists
can better understand the underlying mechanisms of machine learning
algorithms, improve their ability to clean and manipulate data, and make
more accurate predictions and decisions based on data. Matlab has
functions that allow easy work in Linear Algebra. In this book, typical
algebra topics are developed, such as work in discrete mathematics
through numerical algebra in the real and complex fields. Work with
algebraic expressions, polynomials, equations, systems of equations,
matrices, vector spaces, linear maps, and quadratic forms is presented.
Matrix algebra is specially developed with advanced treatment of
eigenvalues, eigenvectors and diagonalization. He also delves into
drawing curves and surfaces in explicit, implicit, parametric, and polar
coordinates. The concepts are accompanied by examples solved step by
step with Matlab
Categories:Mathematics - Algebra
Content Type:Books
Volume:null
Year:2025
Edition:null
Language:english
Trang: 390
