线性代数课程
线性代数课程可以帮助您学习 Vector 空间、矩阵运算、特征值和线性变换。您可以掌握解方程组、执行降维以及将概念应用于数据分析和机器学习的技能。许多课程都会介绍 MATLAB、NumPy 等 Python 库和计算数学软件等工具，这些工具支持在各种应用（包括人工智能和 AI 驱动模型）中实现算法和 Data Visualization。
热门线性代数课程和认证
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives
状态：免费试用Rice University
您将获得的技能: 工程计算, 物理学, 数学建模, 物理科学, 机械, 解决问题, 工程分析, 机械工程, 微积分
状态：免费试用Johns Hopkins University
您将获得的技能: 数学软件, 几何学, 代数, 制图, 数学建模, 应用数学, 线性代数, 三角法, 图形工具, 微积分, 数据建模
状态：免费试用Rice University
您将获得的技能: 电子产品, 电磁学, 物理学, 线性代数, 积分微积分, 基本电气系统, 电气工程, 电气系统, 解决问题, 微积分, 电子元件, 机械
状态：免费试用University of Colorado Boulder
您将获得的技能: 模拟和模拟软件, 扭矩（物理学）, 物理学, 线性代数, 工程学, 微分方程, 数学建模, 应用数学, 机械, 工程分析, 微积分, 控制系统, 振动
The University of Sydney
您将获得的技能: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives
状态：免费试用University of Colorado Boulder
您将获得的技能: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: 写作, 编辑, 叙事, 摄像, 视频制作, 视频编辑, 故事板, 摄影
您将获得的技能: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
状态：免费试用Illinois Tech
您将获得的技能: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling
Coursera
您将获得的技能: Hypertext Markup Language (HTML), Web Design, Web Content, Web Design and Development, Web Development, Information Architecture
状态：免费试用Johns Hopkins University
您将获得的技能: 数学软件, 衍生产品, 制图, 数据分析, 代数, 数学理论与分析, 微积分
与 linear algebra 相关的搜索
总之，以下是 10 最受欢迎的 linear algebra 课程
- Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
- 物理 101 - 能量和动量: Rice University
- 通过数据和建模学习微积分微积分前复习: Johns Hopkins University
- 物理 102 - 电位和直流电路: Rice University
- 动力学：研究航天器运动: University of Colorado Boulder
- Introduction to Advanced Calculus: The University of Sydney
- Statistics and Applied Data Analysis: University of Colorado Boulder
- 成功蓝图--您的视频前期制作: University of Colorado Boulder
- Mining Quality Prediction Using Machine & Deep Learning: Coursera
- Advanced Statistical Techniques for Data Science: Illinois Tech
