Matrix 课程
Matrix 课程可以帮助您学习线性变换、特征值、矩阵运算以及在 Data Science 和 Machine Learning 中的应用。您可以掌握求解方程组、执行降维和应用矩阵因式分解技术的技能。许多课程都会介绍 MATLAB、NumPy 和 R 等工具，这些工具支持在实际场景中执行复杂计算和数据 Visualization。
Matrix 热门课程和认证
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 工程计算, 线性代数, 计算逻辑, 应用数学, 工程分析, 普通数学, 代数, 高等数学, 算术
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
状态：新状态：免费试用Coursera
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Advanced Mathematics, 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: 模拟和模拟软件, 工程计算, 积分微积分, 微积分, 应用数学, 微分方程, 数值分析, 工程分析, 线性代数, Matlab, 机械工程, 工程学, 几何学, 高等数学, 代数, 计算思维, 数学建模, 有限元方法, 数学软件, 电磁学
是什么让您今天来到 Coursera？
状态：预览University of Minnesota
您将获得的技能: Python 编程, 回归分析, 算法, 统计方法, 线性代数, NumPy, 数据操作, 数值分析, 应用机器学习, 应用数学, 降维, 解决方案设计, 数学建模, Algorithm
状态：免费试用Imperial College London
您将获得的技能: Python 编程, 算法, 应用数学, Jupyter, NumPy, 线性代数, 机器学习算法, Algorithm
您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
状态：新状态：预览Universitat Politècnica de València
您将获得的技能: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics, Arithmetic
状态：新状态：免费试用您将获得的技能: Stakeholder Engagement, Stakeholder Analysis, Stakeholder Management, People Analytics, Overcoming Objections, Human Resource Strategy, Human Resources, Communication Planning, Business Priorities, Data Storytelling, Organizational Strategy, Persuasive Communication, Drive Engagement, Business Analytics, Data Presentation, Business Metrics, Strategic Communication, Executive Presence, Consultative Approaches, Change Management
状态：新状态：免费试用Coursera
总之，以下是 10 最受欢迎的 matrix 课程
- 工程师的矩阵代数: The Hong Kong University of Science and Technology
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Train ML Models: Coursera
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- 工程师数学: The Hong Kong University of Science and Technology
- 矩阵方法: University of Minnesota
- 数学在机器学习领域的应用：线性代数: Imperial College London
- Matrix Calculus for Data Science & Machine Learning: Packt
- Basic Math: Algebra: Universitat Politècnica de València
