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所在平台: Udemy |
课程主页: https://www.udemy.com/course/linear-algebra-fundamentals-of-matrix-algebra/
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课程总结：矩阵代数大师：终极线性代数课程 课程名称：《线性代数：矩阵代数基础》 课程概述： 本课程旨在帮助您掌握线性代数的基础知识，为将来深入学习线性代数打下坚实基础。您将从零开始学习多种矩阵运算，这些运算对于理解更抽象的概念以及将这些技术应用于现实数据集至关重要。 主要内容包括： - 向量运算：长度、归一化、点积、角度、叉积 - 矩阵运算与类型：乘法、求逆、简化行阶梯形式 - 方程组：高斯消元法、LU分解、克拉默法则 本课程适合正在学习线性代数的学生、追求数据科学职业的人士，以及任何使用线性代数概念的专业人士。该课程将为接下来的线性变换与向量空间系列课程以及涵盖实际应用的课程做准备，建议先完成本课程后再深入学习更高级的主题。 Ingenium Academy是一个在线学习平台，致力于提供全面的数学和科学相关课程，我们引以为傲的是在各个学科的广度和深度，并将继续推出更多课程以满足学习需求。
Linear Algebra: Fundamentals of Matrix Algebra is designed to help you understand the fundamentals of Linear Algebra that will prepare you for more advanced courses in linear algebra. You will learn how to perform a lot of matrix computations from scratch, which will be essential when learning more abstract concepts as well as applying these techniques to real-world datasets.Topics covered include:Vector Operations: Lengths, Normalization, Dot Products, Angles, Cross Products.Matrix Operations & Types: Multiplication, Inversion, Reduced Row-Echelon FormSystems of Equations: Gaussian Elimination, LU Decomposition, Cramers RuleThis course is intended for anyone that is currently taking a linear algebra course, pursuing a data science career, or any other career that uses linear algebra concepts.This course will be followed up with a series on Linear Transformations & Vector Spaces, along with a course covering real-world applications. This is a pre-requisite to those courses and it is highly recommended that you complete this one first before moving on to the more advanced topics.Ingenium Academy is an online learning platform aimed at providing best-in-class coverage of all math & science-related subjects. We pride ourselves on our breadth and depth of coverage of subjects and aim to fulfill this by continuing to produce more courses.
