Matrix 代数课程
Matrix 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。您可以培养求解方程组、执行矩阵因式分解以及将这些概念应用于数据分析和机器学习的技能。许多课程介绍了用于计算任务的 MATLAB、NumPy 等 Python 库和 R 等工具，展示了人工智能和统计学等领域如何利用这些技能。
热门 Matrix 代数课程和证书
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 普通数学, 计算逻辑, 高等数学, 应用数学, 工程分析, 线性代数, 算术, 工程计算, 代数
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：新状态：免费试用University of London
您将获得的技能: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
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Imperial College London
您将获得的技能: Algorithm, 微积分, Python 编程, 数据预处理, 功能工程, Jupyter, 人工神经网络, 高等数学, 应用数学, 降维, 衍生产品, NumPy, 线性代数, 机器学习算法, 无监督学习, 回归分析, 统计资料, 数学建模, 算法
是什么让您今天来到 Coursera？
状态：免费试用DeepLearning.AI
您将获得的技能: 统计分析, 数据预处理, 机器学习, 微积分, 概率, 统计推理, 概率分布, 降维, 应用数学, 描述性统计, 线性代数, 机器学习方法, NumPy, 抽样（统计）, 数学建模, 数值分析, A/B 测试, 概率与统计, 统计假设检验, 贝叶斯统计
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
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 几何学, 微积分, 应用数学, 高等数学, 工程学, 积分微积分, 工程分析, 线性代数, 机械工程, Matlab, 电磁学, 数学软件, 工程计算, 微分方程, 有限元方法, 数值分析, 模拟和模拟软件, 数学建模, 计算思维, 代数
状态：免费试用Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
状态：免费试用Johns Hopkins University
您将获得的技能: 普通数学, 几何学, 高等数学, 应用数学, 算术, 分析技能, 数学建模, 制图, 概率与统计, 代数
状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Data Analysis, Computational Logic, Engineering Calculations, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Analytical Skills, Bayesian Statistics, Differential Equations, Programming Principles, Statistical Inference, Theoretical Computer Science, Numerical Analysis, Descriptive Analytics, Applied Mathematics
总之，以下是 10 最受欢迎的 matrix algebra 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
- Applied Mathematical Methods for Computing: University of London
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- 机器学习数学: Imperial College London
- 机器学习和数据科学数学: DeepLearning.AI
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- 工程师数学: The Hong Kong University of Science and Technology
- Linear Algebra for Data Science Using Python: Howard University
