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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, 人工智能, 预测建模, 分类与回归树 (CART), 监督学习, 数据转换, 回归分析, 统计建模, NumPy, 应用机器学习, Python 程序设计, Jupyter, 功能工程, Scikit-learn （机器学习库）
状态：免费试用University of Colorado Boulder
您将获得的技能: 应用数学, 数据清理, 机器学习, 数据科学, Matplotlib, 预测建模, 探索性数据分析, 监督学习, 回归分析, 分类与回归树 (CART), 随机森林算法, 机器学习算法, Python 程序设计, 数学建模, 决策树学习, 统计编程, 应用机器学习, 功能工程, 性能调整, Scikit-learn （机器学习库）
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：新您将获得的技能: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
是什么让您今天来到 Coursera？
状态：免费试用多位教师
您将获得的技能: 数据伦理, 机器学习, 分类与回归树 (CART), 人工智能, 预测建模, 人工智能和机器学习（AI/ML）, 无监督学习, NumPy, Python 程序设计, 强化学习, 随机森林算法, 应用机器学习, 决策树学习, 负责任的人工智能, Jupyter, 功能工程, 监督学习, 深度学习, 张力流, Scikit-learn （机器学习库）
状态：免费试用DeepLearning.AI
您将获得的技能: Algorithm, 人工智能, 机器学习, 无监督学习, 数据伦理, 人工智能和机器学习（AI/ML）, 降维, 强化学习, 应用机器学习, 监督学习, 深度学习, 异常检测
状态：免费试用您将获得的技能: 机器学习, 预测建模, 分类与回归树 (CART), 监督学习, 回归分析, 无监督学习, 统计建模, 降维, 决策树学习, 应用机器学习, 功能工程, Scikit-learn （机器学习库）
状态：免费试用University of Washington
您将获得的技能: 机器学习, 人工智能, 预测建模, 计算机视觉, 分类与回归树 (CART), 监督学习, 文本挖掘, 回归分析, 统计建模, 无监督学习, 机器学习算法, 大数据, 功能工程, 统计机器学习, 应用机器学习, 数据挖掘, 图像分析, 贝叶斯统计, 深度学习, 预测分析
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
状态：免费试用您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics
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
- 机器学习入门：监督学习: University of Colorado Boulder
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Machine Learning with PyTorch and Scikit-Learn: Packt
- Foundations of Machine Learning: Coursera
- Python: Logistic Regression & Supervised ML: EDUCBA
- 机器学习: DeepLearning.AI
- 无监督学习、推荐器、强化学习: DeepLearning.AI
- 使用 Python 进行机器学习: IBM
- 机器学习: University of Washington
