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
探索无监督学习课程目录
状态：免费试用DeepLearning.AI
您将获得的技能: 人工智能, 监督学习, Algorithm, 数据伦理, 人工智能和机器学习（AI/ML）, 降维, 无监督学习, 应用机器学习, 机器学习, 深度学习, 强化学习, 异常检测
状态：新状态：免费试用University of Michigan
您将获得的技能: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis
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：预览您将获得的技能: Unsupervised Learning, SPSS, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Mining, Data Cleansing, Data Analysis, Data Manipulation, Statistical Methods
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：新状态：预览您将获得的技能: Unsupervised Learning, Microsoft Excel, Excel Formulas, Scatter Plots, Data Visualization, Data Analysis, Data Manipulation, Feature Engineering, Data Validation
是什么让您今天来到 Coursera？
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Applied Machine Learning, Generative Model Architectures, Unsupervised Learning, Artificial Intelligence
状态：免费试用多位教师
您将获得的技能: Python 程序设计, 分类与回归树 (CART), 决策树学习, 监督学习, 数据伦理, 人工智能, 预测建模, 人工智能和机器学习（AI/ML）, 随机森林算法, 应用机器学习, 机器学习, 负责任的人工智能, 功能工程, Jupyter, 无监督学习, 张力流, Scikit-learn （机器学习库）, NumPy, 深度学习, 强化学习
状态：免费试用IBM
您将获得的技能: 线性代数, 数据科学, Algorithm, 自然语言处理, 降维, 机器学习算法, 数据分析, 统计机器学习, 大数据, 数据挖掘, 文本挖掘, 功能工程, 机器学习, Scikit-learn （机器学习库）, 无监督学习, NumPy
状态：免费试用DeepLearning.AI
您将获得的技能: 决策树学习, 数据伦理, 分类与回归树 (CART), 监督学习, 人工神经网络, 随机森林算法, 负责任的人工智能, 性能调整, 机器学习, 张力流, 深度学习
状态：免费试用您将获得的技能: 统计建模, 决策树学习, 回归分析, 分类与回归树 (CART), 预测建模, 监督学习, 降维, 机器学习, 应用机器学习, 无监督学习, Scikit-learn （机器学习库）, 功能工程
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 无监督学习、推荐器、强化学习: DeepLearning.AI
- Applied Unsupervised Learning in Python: University of Michigan
- Machine Learning with PyTorch and Scikit-Learn: Packt
- SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
- Foundations of Machine Learning: Coursera
- Excel: Apply & Evaluate Unsupervised Clustering: EDUCBA
- Deep Learning for Computer Vision: University of Colorado Boulder
- 机器学习: DeepLearning.AI
- 无监督机器学习: IBM
- 高级学习算法: DeepLearning.AI
