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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-matrices-and-linear-algebra-for-data-science-and-ml/
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课程名称：数据科学与机器学习的Python、矩阵与线性代数 课程概述： 本课程向学生介绍数据科学和机器学习所需的线性代数与Python基础知识。课程的重点是通过几何直观和计算实现，深入讲解线性代数的重要概念，并在Python编程环境中进行讨论和实现。课程将涵盖以下主题： 1. Python简介 2. 数据科学与机器学习中的向量与矩阵 3. 向量与矩阵的运算 4. 计算特征值 5. 计算奇异值 6. 机器学习算法中的矩阵运算 7. Python数据科学与机器学习库 适合人群： - 希望学习线性代数和Python编程概念的学生 - 希望在数据科学、机器学习和深度学习领域建立线性代数基础的学习者 - 对学习Python及理解线性代数概念感兴趣的任何人 - 想要复习线性代数基础的数据显示科学与机器学习专业学生 - 渴望在数据科学、机器学习和人工智能领域学习Python的人士 授课教师：Rahul Rai 教授，目前担任克莱姆森大学国际汽车研究中心的院长特聘教授，之前在纽约州立大学布法罗分校机械与航空工程系任职，拥有在联合技术研究中心和帕洛阿尔托研究中心等工业研究机构的丰富经验。
Python, Matrices, and Linear Algebra for Data Science and Machine LearningCourse DescriptionThis course introduces students to essential concepts of linear algebra and python that are necessary as a foundation for learning concepts in data science and machine learning. The emphasis has been on creating lectures in a format that provides both geometrical intuitions and computational implementation of all the important concepts in linear algebra. Additionally, all the covered concepts are implemented and discussed in the python programming context. The following topics will be covered:1. Introduction to Python2. Vector and Matrices in Data Science and Machine Learning3. Vector and Matrices Operations4. Computing Eigenvalues5. Computing Singular Values6. Matrix Operations in Machine Learning Algorithm7. Python Data Science and Machine Learning LibrariesWho this course is for:Students who want to learn linear algebra and python programming conceptsStudents who want to develop foundations in linear algebra for Data Science, Machine Learning, and Deep Learning domainsAnyone who is interested in learning python and wants to have a conceptual understanding of linear algebra concepts.Data scientists and machine learning students who want to review their basics in the linear algebra domainAnyone who wants to learn Python for data science, machine learning, and AI domainThis course is taught by professor Rahul Rai who joined the Department of Automotive Engineering in 2020 as Dean's Distinguished Professor in the Clemson University International Centre for Automotive Research (CU-ICAR). Previously, he served on the Mechanical and Aerospace Engineering faculty at the University at Buffalo-SUNY (2012-2020) and has experience in industrial research center experiences at United Technology Research Centre (UTRC) and Palo Alto Research Centre called as (PARC).
