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：免费试用New York University
您将获得的技能: Machine Learning 方法, 马尔可夫模型, 风险管理, 金融交易, 证券交易, 金融市场, 金融建模, 投资组合管理, 衍生产品, 市场动态, 强化学习
状态：新状态：预览Rice University
您将获得的技能: Overcoming Obstacles, Complex Problem Solving, Resourcefulness, Cognitive flexibility, Personal Attributes, Curiosity, Quick Learning, Adaptability
状态：新状态：免费试用Dartmouth College
您将获得的技能: Classification Algorithms
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 自动编码器, 监督学习, 模型部署, 机器学习, Machine Learning 方法, 健康信息学, 递归神经网络 (RNN), 医疗保健项目管理, 大数据, 人工神经网络, 生成对抗网络 (GAN), 健康信息管理, 应用机器学习, 卷积神经网络, 图像分析, 图论, 嵌入, 深度学习, 医疗保健, 模型评估
状态：新状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling
状态：预览Coursera
您将获得的技能: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)
状态：免费试用Google Cloud
您将获得的技能: 可扩展性, 分布式计算, 模型部署, 机器学习, 张力流, 系统设计, Google 云端平台, MLOps（机器学习 Operator）, 系统架构, 混合云计算, 模型评估, 性能调整
状态：免费试用Duke University
您将获得的技能: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
状态：免费试用O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Customer Insights, Google Analytics, Data Ethics
Commonwealth Education Trust
您将获得的技能: 专业发展, 成人学习原则, 学生参与, 建立关系, 备课, 可信度, 学习理论, 协作, 教学设计, 建设性反馈, 教学, 教学策略, 课程规划, 设定目标, 教学法, 成长意识
状态：预览University of Leeds
您将获得的技能: 数字扫盲, 数字通信, 沟通, 学习策略, 协作, 个人发展, 自我意识, 批判性思维, 技术交流
状态：免费试用您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 金融领域的强化学习: New York University
- Practical Metacognition for Learning: Rice University
- Foundations for Machine Learning: Dartmouth College
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- Managing Machine Learning Models: SAS
- Machine Learning in Retail: Coursera
- 生产型机器学习系统: Google Cloud
- Explainable Machine Learning (XAI): Duke University
- Machine Learning for Marketing: O.P. Jindal Global University
- 为学习而教的基础教学规划: Commonwealth Education Trust
