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
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform
状态：预览Deep Teaching Solutions
您将获得的技能: Productivity, Lifelong Learning, Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Problem Solving, Overcoming Obstacles, Creative Thinking, Persistence, Cognitive flexibility, Stress Management, Planning
状态：预览National Taiwan University
您将获得的技能: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Classification Algorithms, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms
状态：免费Georgia Institute of Technology
您将获得的技能: 英语, 语言交流技能, 专业精神, 人际沟通, 词汇, 沟通
状态：免费试用IBM
您将获得的技能: 机器学习, 数据科学, 负责任的人工智能, 计算机视觉, 生成式人工智能, Prompt Engineering, 还原式 API, ChatGPT, 软件开发生命周期, 软件架构, Python 程序设计, 检索-增强生成, LLM 申请, AI 工作流程, LangChain, 数据导入/导出, 工程软件, 提示模式, 响应式网页设计, IBM 云
状态：免费试用IBM
您将获得的技能: 负责任的人工智能, 风险缓解, 机器人, 生成式人工智能, 业务逻辑, 自然语言处理
状态：免费试用Microsoft
您将获得的技能: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
状态：免费您将获得的技能: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development
状态：免费试用您将获得的技能: 数据结构, 计算机编程, 应用编程接口 (API), Pandas（Python 软件包）, 文件输入/输出, 数据处理, 自动化, 网页抓取, 编程原则, 还原式 API, Python 程序设计, 数据分析, 数据操作, NumPy, 数据导入/导出, 面向对象编程（OOP）, JSON, Jupyter, 脚本
状态：预览DeepLearning.AI
您将获得的技能: 负责任的人工智能, AI 产品战略, 生成式人工智能, Prompt Engineering, 自动化, ChatGPT, 云应用, AI 安全, 社会影响, 人工智能, 大型语言模型
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Aprendendo a aprender: ferramentas mentais poderosas para ajudá-lo a dominar assuntos difíceis (em Português) [Learning How to Learn]: Deep Teaching Solutions
- 人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
- 课程 | 小对话和会话词汇: Georgia Institute of Technology
- IBM AI 开发人员: IBM
- 人工智能 (AI) 概论: IBM
- Microsoft AI & ML Engineering: Microsoft
- IBM Generative AI Engineering: IBM
- Build a computer vision app with Azure Cognitive Services: Microsoft
