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In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!
Fundamental Linear Algebra Concepts with Python
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积累特定领域的专业知识
本课程是 Linear Algebra for Data Science Using Python 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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该课程共有4个模块
In module 1, you’ll learn how to define linear equations, how to use Python to find the determinant of matrices and how to perform different commands using Python. We will cover the following learning objectives.
涵盖的内容
8个视频1篇阅读材料3个作业1个讨论话题
Let’s recap! In module 1, you learned how to define linear equations, how to use Python to find the determinant of matrices and how to perform different commands using Python. In module 2, you’ll learn how to explain different matrix algebra functions, perform matrix algebra on large data sets using Python. We will cover the following learning objectives.
涵盖的内容
5个视频2个作业1个讨论话题
Let’s recap! In module 2, you learned how to explain different matrix algebra functions and perform matrix algebra on large data sets using Python. In module 3, you will learn how to solve systems of linear equations using several methods. We will cover the following learning objectives.
涵盖的内容
5个视频3个作业1个讨论话题
Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: determinants, inverses, matrix algebra with Python, row reduction and, systems of linear equations. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll practice using linear transformation, Eigenvalues and Eigenvectors, and solving applications. We will cover the following learning objectives.
涵盖的内容
11个视频3个作业1次同伴评审1个讨论话题
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