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所在平台: Udemy |
课程主页: https://www.udemy.com/course/linear-algebra-beginner-expert-plus-data-science-practice/
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课程名称：初学者 - 专家级线性代数与Python实践 课程概述：本课程将探讨核心线性代数概念及其在解决实际问题中的应用。我们将涵盖线性代数的基本主题，如矩阵、向量和向量空间。如果你有兴趣学习线性代数的数学概念，并希望将这些概念应用于数据科学、统计学、金融、工程等领域，那么本课程非常适合你！我们将详细解释所有数学概念，并在Python中进行编程实现。课程强调反馈，欢迎随时提问！我们将努力让课程尽可能互动，以保持课堂体验。完成本课程后，你将掌握以下不同的概念： - 线性代数基础 - 单个矩阵的操作 - 多个矩阵的操作 - 执行初等行操作 - 计算矩阵的逆 - 高斯消元法 - 向量与向量空间 - 基本子空间 - 矩阵分解 - 矩阵行列式与迹运算符 - 在机器学习和数据科学中使用的核心线性代数概念 - 使用Python编程语言应用线性代数概念的实际操作 - 将线性代数应用于实际问题 - 通过实践掌握通过任何线性代数考试所需的技能 - 主成分分析 - 线性回归 你还将获得： - 终身访问本课程 - 友好且及时的问答支持 - 可下载的Udemy结业证书 - 30天退款保证 适合人群： - 希望学习如何使用深度学习构建和训练最先进计算机视觉模型的计算机视觉从业者 - 希望掌握深度学习基础并在TensorFlow中应用最佳实践的任何人 - 希望深入了解深度学习运作机制的深度学习从业者 - 对深度学习感到好奇的初学者Python开发者 欢迎加入我们的课程，一起享受学习的乐趣！
In this course, we look at core Linear Algebra concepts and how it can be used in solving real world problems. We shall go through core Linear Algebra topics like Matrices, Vectors and Vector Spaces. If you are interested in learning the mathematical concepts in linear algebra, but also want to apply those concepts to datascience, statistics, finance, engineering, etc.then this course is for you! We shall explain detaily all Maths Concepts and also implement them programmaticaly in Python. We lay much emphasis on feedback. Feel free to ask as many questions as possible!!! Let's make this course as interactive as possible, so that we still gain that classroom experience.Here are the different concepts you'll master after completing this course.Fundamentals of Linear AlgebraOperations on a single MatrixOperations on two or more MatricesPerforming Elementary row operationsFinding Matrix InverseGaussian Elimination MethodVectors and Vector SpacesFundamental SubspacesMatrix DecompositionsMatrix Determinant and the trace operatorCore Linear Algebra concepts used in Machine Learning and DatascienceHands on experience with applying Linear Algebra concepts using the computer with the Python Programming LanguageApply Linear Algebra in real world problemsSkills needed to pass any Linear Algebra examPrincipal Component AnalysisLinear RegressionYOU'LL ALSO GET:Lifetime access to This CourseFriendly and Prompt support in the Q & A sectionUdemy Certificate of Completion available for download30-day money back guaranteeWho this course is for:Computer Vision practitioners who want to learn how state of art computer vision models are built and trained using deep learning.Anyone who wants to master deep learning fundamentals and also practice deep learning using best practices in TensorFlow.Deep Learning Practitioners who want gain a mastery of how things work under the hood.Beginner Python Developers curious about Deep Learning.Enjoy!!!
