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所在平台: Udemy |
课程主页: https://www.udemy.com/course/linear-algebra-for-machine-learning-from-scratch/
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课程名称：从零开始的机器学习微积分与线性代数 课程概述：本课程旨在教授微积分和线性代数，帮助学习者掌握机器学习和数据科学所需的数学基础。微积分和线性代数是机器学习、深度学习和数据科学领域的核心数学知识。本课程将涵盖以下内容： - 函数 - 微分 - 积分 - 偏微分 - 矩阵基础 - 矩阵的加法与减法 - 矩阵乘法 - 向量 - 特征值和特征向量 - 数学在数据科学中的应用 微积分和线性代数在机器学习与数据科学的多个领域中有着广泛的应用。掌握这些知识将帮助你更好地理解机器学习和数据科学的高级主题。如果你正在学习机器学习或数据科学课程，这门课程将对你大有裨益。 课程中提供了每个概念的视频讲座，并配有测验和示例，帮助巩固知识和理解机器学习背后的数学原理。
In this course you will learn Calculus and Linear Algebra for Machine Learning and Data Science from scratch.Calculus and Linear Algebra form the foundation of the essential Mathematical background required in the field of Machine Learning, Deep Learning and Data Science. In this course you will learn…FunctionsDifferentiationIntegrationPartial DifferentiationBasics of MatricesAddition and Subtraction of matricesMultiplication of MatricesVectorsEigenvalues and EigenvectorsApplication of Mathematics in Data ScienceCalculus & Linear Algebra finds wide variety of applications in different fields of Machine Learning and Data Science. B Learning Calculus & Linear Algebra will help you in understanding advanced topics of Machine Learning and Data Science. If you are taking a Machine Learning or Data Science course, then this course is certainly going to help you.In this course I have provided video lectures for each and every concept, these lectures are supplemented by quizzes and examples that will help you reinforcing your knowledge and will also help you in learning the Math behind Machine Learning.
