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浏览监督学习课程目录
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, 分类与回归树 (CART), 人工智能, 监督学习, 统计建模, 回归分析, 数据转换, NumPy, 应用机器学习, 预测建模, Python 程序设计, Jupyter, 功能工程, Scikit-learn （机器学习库）
状态：免费试用多位教师
您将获得的技能: 机器学习, 数据伦理, 监督学习, 分类与回归树 (CART), 无监督学习, 人工智能, 决策树学习, 张力流, 负责任的人工智能, NumPy, 强化学习, 随机森林算法, Python 程序设计, 预测建模, 应用机器学习, Jupyter, 功能工程, 人工智能和机器学习（AI/ML）, Scikit-learn （机器学习库）, 深度学习
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
状态：新状态：预览您将获得的技能: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy
状态：新状态：免费试用Coursera
您将获得的技能: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
状态：免费试用University of Colorado Boulder
您将获得的技能: 机器学习, 探索性数据分析, 监督学习, 分类与回归树 (CART), 数据分析, 回归分析, 随机森林算法, 机器学习算法, 预测建模, 数据科学, Python 程序设计, 性能调整, 功能工程, 应用机器学习, NumPy, Scikit-learn （机器学习库）, 统计分析
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: 机器学习, 回归分析, 决策树学习, 分类与回归树 (CART), 无监督学习, 监督学习, 统计建模, 降维, 预测建模, 应用机器学习, 功能工程, Scikit-learn （机器学习库）
状态：免费试用Imperial College London
您将获得的技能: 概率与统计, 线性代数, 机器学习, 回归分析, Algorithm, 数据操作, 降维, Python 程序设计, NumPy, 人工神经网络, 统计, 机器学习算法, 微积分, 应用数学, Jupyter, 衍生产品, 高等数学, 数据科学, 统计分析
状态：免费试用IBM
您将获得的技能: 机器学习, 探索性数据分析, 统计方法, 数据分析, 回归分析, 监督学习, 无监督学习, 统计推理, 机器学习算法, 降维, 强化学习, 预测建模, 功能工程, 生成模型架构, 数据科学, Python 程序设计, 数据处理, 应用机器学习, 统计假设检验, 深度学习
状态：新状态：免费试用您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scripting Languages, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Data Visualization, Descriptive Statistics, Mathematical Software, Numerical Analysis, Software Installation, Mathematical Modeling, Predictive Modeling, Programming Principles, Python Programming, Data Analysis
状态：免费试用University of Washington
您将获得的技能: 机器学习, 回归分析, 分类与回归树 (CART), 人工智能, 监督学习, 统计建模, 文本挖掘, 无监督学习, 计算机视觉, 机器学习算法, 贝叶斯统计, 功能工程, 预测建模, 统计机器学习, 预测分析, 应用机器学习, 数据挖掘, 大数据, 图像分析, 深度学习
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
总之，以下是 10 最受欢迎的 supervised learning 课程
- 监督式机器学习：回归与分类: DeepLearning.AI
- 机器学习: DeepLearning.AI
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Foundations of Machine Learning: Coursera
- 机器学习入门：监督学习: University of Colorado Boulder
- 使用 Python 进行机器学习: IBM
- 机器学习数学: Imperial College London
- IBM 机器学习: IBM
- Octave for Machine Learning: Data Analysis Mastery: EDUCBA
