筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 Linear Regression 课程目录
状态：免费试用您将获得的技能: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用Howard University
您将获得的技能: Regression Analysis, Predictive Modeling, Statistical Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Mathematics, Machine Learning Methods, Linear Algebra, Small Data, Statistical Analysis, NumPy
状态：免费试用DeepLearning.AI
您将获得的技能: 应用数学, 回归分析, 数学建模, 衍生产品, Python 程序设计, 人工神经网络, 微积分, 深度学习, 数值分析, 机器学习
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 应用数学, 人工智能, 数学建模, 线性代数, 深度学习, 监督学习, 机器学习
状态：预览Northeastern University
您将获得的技能: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving
状态：免费试用MathWorks
您将获得的技能: 数据处理, 分类与回归树 (CART), 预测建模, 回归分析, Matlab, 监督学习, 统计建模, 功能工程, 预测分析, 应用机器学习, 机器学习, 抽样（统计）
状态：免费试用University of Pennsylvania
您将获得的技能: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction
状态：免费试用Johns Hopkins University
您将获得的技能: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
状态：免费试用Johns Hopkins University
您将获得的技能: 统计推理, 相关性分析, 回归分析, 统计建模, 统计分析, 数据分析, 概率与统计
状态：免费试用IBM
您将获得的技能: 分类与回归树 (CART), 预测建模, 统计建模, 回归分析, 功能工程, 性能指标, 监督学习, 统计分析, 机器学习, Scikit-learn （机器学习库）
状态：免费试用University of Colorado Boulder
您将获得的技能: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation
状态：预览Sungkyunkwan University
您将获得的技能: Regression Analysis, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Time Series Analysis and Forecasting, Supervised Learning, Financial Data
总之，以下是 10 最受欢迎的 linear regression 课程
- R Ultimate 2024 - R for Data Science and Machine Learning: Packt
- Building Regression Models with Linear Algebra: Howard University
- 机器学习和数据科学微积分: DeepLearning.AI
- 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)
- Industrial Optimization: Models & Linear Programming: Northeastern University
- 使用 MATLAB 进行预测建模和机器学习: MathWorks
- Machine Learning Essentials: University of Pennsylvania
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- 用回归模型量化关系: Johns Hopkins University
- 有监督的机器学习：回归: IBM
