无监督学习课程
无监督学习课程可以帮助您学习 Clustering 技术、Dimensionality Reduction 和 Anomaly Detection。您可以掌握数据预处理、Feature Extraction 和解释复杂数据集的技能。许多课程都会介绍 Scikit-learn 和 TensorFlow 等 Python 库等工具，这些工具支持在项目中实施这些方法。您还将探索客户细分、图像处理和推荐系统等领域的实际应用，提高从无标签数据中获得洞察力的能力。
热门无监督学习课程和认证
状态：预览Edge Impulse
您将获得的技能: 模型部署, 嵌入式系统, 数据伦理, 卷积神经网络, Python 程序设计, 人工神经网络, 深度学习, 迁移学习, 机器学习, 应用机器学习, 模型评估, 数据预处理, 计算机视觉, 人工智能和机器学习（AI/ML）, 图像分析, 计算机编程
状态：新您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring
状态：免费试用University of Alberta
您将获得的技能: Algorithm, 模拟, 强化学习, 人工神经网络, 马尔可夫模型, 机器学习算法, 机器学习, 模型评估, 性能调整, 性能测试, 人工智能和机器学习（AI/ML）
状态：免费试用Stanford University
您将获得的技能: 卷积神经网络, 负责任的人工智能, 数据伦理, 深度学习, 人工神经网络, 医疗保健伦理, 医疗保健行业知识, 强化学习, 机器学习, 人工智能和机器学习（AI/ML）, 模型评估, 数据预处理, 卫生政策, 机器学习算法, 应用机器学习
您将获得的技能: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning
状态：免费试用您将获得的技能: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
您将获得的技能: Education Software and Technology, Digital pedagogy, Content Management
状态：预览Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
状态：免费您将获得的技能: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
状态：免费试用Google Cloud
您将获得的技能: 模型部署, 自动化, MLOps（机器学习 Operator）, 数据管道, 持续集成, 机器学习, 模型评估, Devops, 持续部署, Google 云端平台, 云部署
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability
您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 计算机视觉与嵌入式机器学习: Edge Impulse
- Learn MLOps for Machine Learning: Pearson
- 完整的强化学习系统（Capstone）: University of Alberta
- 医疗保健机器学习基础: Stanford University
- Machine Learning - Anomaly Detection via PyCaret: Coursera
- Mastering Machine Learning Algorithms using Python: Packt
- Inspire Student Learning with Showbie: Coursera
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Machine Learning with PySpark: Recommender System: Coursera
- 机器学习操作 (MLOps)：入门指南: Google Cloud
