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：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
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：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 应用数学, 模拟和模拟软件, 估算, 微积分, 数值分析, 计算思维, 工程分析, 线性代数, 数学软件, 工程学, 几何学, 高等数学, 数学建模, 机械工程, 代数, 积分微积分, 微分方程, 工程计算, 有限元方法, Matlab
状态：免费试用Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 回归分析, 机器学习, 微积分, 数值分析, Python 程序设计, 衍生产品, 深度学习, 人工神经网络, 数学建模
状态：免费试用多位教师
您将获得的技能: 机器学习, 决策树学习, 无监督学习, NumPy, Python 程序设计, 深度学习, 数据伦理, 随机森林算法, 预测建模, 负责任的人工智能, 应用机器学习, Jupyter, 监督学习, 人工智能, 强化学习, 功能工程, Scikit-learn （机器学习库）, 张力流, 人工神经网络, 分类与回归树 (CART)
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics
状态：免费试用Johns Hopkins University
您将获得的技能: 概率与统计, 贝叶斯统计, 统计分析, 回归分析, 应用数学, 概率分布, 抽样（统计）, 统计, R 语言程序设计（中文版）, 统计方法, 数据科学, 预测建模, 线性代数, 统计推理, 统计建模, 概率, 数学建模, 统计假设检验, 生物统计学, 数据分析
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 应用数学, 机器学习, 监督学习, 深度学习, 线性代数, 人工智能, 数学建模
状态：免费试用Howard University
您将获得的技能: 数据可视化软件, 应用数学, Git（版本控制系统）, Python 程序设计, NumPy, 软件安装, 数据科学, 线性代数, 数据分析, 数学软件, 数学建模, Jupyter, 代数
状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Engineering Calculations, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Algebra
与 linear algebra 相关的搜索
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
- Basic Math: Algebra: Universitat Politècnica de València
- 工程师数学: The Hong Kong University of Science and Technology
- Linear Algebra for Data Science Using Python: Howard University
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- 机器学习和数据科学微积分: DeepLearning.AI
- 机器学习: DeepLearning.AI
- Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
- 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)
