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：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, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 有限元方法, 数学建模, 模拟和模拟软件, 数值分析, Matlab, 线性代数, 机械工程, 工程分析, 积分微积分, 工程学, 应用数学, 微分方程, 微积分, 代数, 几何学, 工程计算, 计算思维, 高等数学, 电磁学, 数学软件
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：免费试用您将获得的技能: 逻辑回归, 模型评估, 功能工程, 分类算法, 机器学习, Scikit Learn（机器学习库）, 无监督学习, 回归分析, Python 编程, 监督学习, 决策树学习, 应用机器学习, Model Evaluation, 预测建模, 降维
状态：免费试用多位教师
您将获得的技能: 深度学习, 模型评估, 功能工程, NumPy, 强化学习, 分类算法, 人工智能, Scikit Learn（机器学习库）, 机器学习, Transfer Learning, 随机森林算法, 无监督学习, 监督学习, 张力流, Model Evaluation, 应用机器学习, Jupyter, 决策树学习, 迁移学习, 预测建模, 数据伦理, 数据预处理
状态：免费试用Duke University
您将获得的技能: 模型评估, 数学建模, 统计分析, 统计推理, R 程序设计, 探索性数据分析, 数据分析软件, 概率与统计, 统计建模, 统计资料, 回归分析, R（软件）, Model Evaluation, 相关性分析, 预测建模
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
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: 数学建模, 线性代数, R 程序设计, 统计分析, 数据建模, 统计假设检验, 统计推理, 概率分布, 概率与统计, 应用数学, 统计资料, 生物统计学, 统计建模, 回归分析, 数据分析, 统计方法, 数据科学, 抽样（统计）, 贝叶斯统计, 概率
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 深度学习, 数学建模, 线性代数, 人工智能, 应用数学, 机器学习, 监督学习
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University of Huddersfield
您将获得的技能: Calculus, Advanced Mathematics, Differential Equations, Applied Mathematics, Integral Calculus, Logical Reasoning, Engineering Calculations, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Theory & Analysis, Mathematical Modeling, Analytical Skills, Engineering Analysis, Derivatives
总之，以下是 10 最受欢迎的 linear algebra 课程
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- 工程师数学: The Hong Kong University of Science and Technology
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- 使用 Python 进行机器学习: IBM
- 机器学习: DeepLearning.AI
- 线性回归与建模: Duke University
- Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
- Linear Algebra for Data Science Using Python: Howard University
- 数据科学高级统计学: Johns Hopkins University
- 人工智能初学者数学第 1 部分 线性代数: Korea Advanced Institute of Science and Technology(KAIST)
