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: 工程分析, 应用数学, 代数, 普通数学, 计算逻辑, 高等数学, 算术, 线性代数, 工程计算
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, Applied Mathematics, Algebra, Advanced Mathematics, 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: 应用数学, 微积分, 模拟和模拟软件, 数学软件, 电磁学, 机械工程, 工程分析, 代数, 高等数学, 工程学, 微分方程, 数值分析, 几何学, 计算思维, 线性代数, 积分微积分, 数学建模, 工程计算, Matlab, 有限元方法
状态：免费试用Imperial College London
您将获得的技能: 应用数学, Jupyter, NumPy, 算法, 机器学习算法, 线性代数, Python 编程, Algorithm
是什么让您今天来到 Coursera？
状态：预览University of Minnesota
您将获得的技能: 数据操作, 应用数学, NumPy, 算法, 应用机器学习, 数值分析, 降维, 解决方案设计, 线性代数, 统计方法, Python 编程, Algorithm, 回归分析, 数学建模
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
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：免费试用Coursera
状态：新状态：免费试用Coursera
状态：免费试用University of Pittsburgh
您将获得的技能: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
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 from Elementary to Advanced: Johns Hopkins University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: 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
- 数学在机器学习领域的应用：线性代数: Imperial College London
- 矩阵方法: University of Minnesota
- Basic Math: Algebra: Universitat Politècnica de València
- Matrix Calculus for Data Science & Machine Learning: Packt
- Smart Decision Matrix: Coursera
