筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索线性代数课程目录
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis
状态：免费试用Imperial College London
您将获得的技能: Algorithm, 应用数学, 数据操作, 数据科学, 线性代数, NumPy, 机器学习算法, Python 程序设计
The University of Sydney
您将获得的技能: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Engineering Analysis
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 线性代数, 数据操作, 数据科学, Machine Learning 方法, 数据转换, 降维, Python 程序设计, NumPy, 数学建模
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: Algorithm, 应用数学, 微积分, 机器学习, 线性代数, 数据科学, 数据操作, 回归分析, 衍生产品, Python 程序设计, 机器学习算法, 统计, NumPy, 降维, 人工神经网络, 概率与统计, Jupyter, 统计分析, 高等数学
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 应用数学, 线性代数, 代数, 工程分析, 工程计算, 普通数学, 高等数学
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 机器学习, 线性代数, A/B 测试, 微积分, Machine Learning 方法, 数据转换, 统计推理, 抽样（统计）, NumPy, 降维, 概率, 概率分布, 描述性统计, 统计假设检验, 概率与统计, 数值分析, 统计分析, 贝叶斯统计, 数学建模
状态：免费试用Johns Hopkins University
您将获得的技能: 应用数学, 算术, 代数, 数学建模, 分析技能, 几何学, 制图, 高等数学, 普通数学, 概率与统计
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
总之，以下是 10 最受欢迎的 linear algebra 课程
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- 数学在机器学习领域的应用：线性代数: Imperial College London
- Introduction to Linear Algebra: The University of Sydney
- 机器学习和数据科学线性代数: DeepLearning.AI
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- 机器学习数学: Imperial College London
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- 工程师的矩阵代数: The Hong Kong University of Science and Technology
- 机器学习和数据科学数学: DeepLearning.AI
