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DeepLearning.AI
您将获得的技能: 代码审查, 生成式人工智能, 大型语言模型, LLM 申请, 人工智能和机器学习（AI/ML）, Prompt Engineering, 机器学习, 计划发展, 软件开发方法
状态：免费试用Google Cloud
您将获得的技能: 迁移学习, Google 云端平台, 张力流, 计算机视觉, 深度学习, 数据预处理, 分类算法, 人工神经网络, 应用机器学习, 模型评估, 卷积神经网络, 功能工程, 图像分析
状态：预览University of Arizona
您将获得的技能: 生物学, 古代历史, 物理科学, 模拟, 物理学, 电磁学, 科学方法, 科学可视化, 研究, 全球定位系统, 化学, 工程学
状态：免费试用DeepLearning.AI
您将获得的技能: 深度学习, 迁移学习, 张力流, 模型评估, Keras（神经网络库）, 人工神经网络, 卷积神经网络
状态：免费试用您将获得的技能: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
状态：新状态：免费试用您将获得的技能: Azure Synapse Analytics, Performance Tuning, Microsoft Azure, System Monitoring, Data Engineering, Transact-SQL, Star Schema, Power BI, PySpark, Data Cleansing, Data Analysis Expressions (DAX), Apache Spark, Data Warehousing, Analytics, Data Modeling, Data Analysis, SQL, Azure Active Directory, Advanced Analytics, Microsoft Copilot
状态：新状态：预览状态：人工智能技能DeepLearning.AI
您将获得的技能: CrewAI, AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Monitoring, Workflow Management, Tool Calling, Continuous Monitoring, Scalability, Prompt Engineering, Code Review, Integration Testing, User Feedback
状态：新状态：预览您将获得的技能: Health Technology, Healthcare Ethics, Clinical Informatics, Medical Imaging, Diagnostic Radiology, Clinical Documentation, Radiology, Clinical Assessment, Clinical Nursing, Data Ethics, Responsible AI, Image Analysis, Health Informatics, X-Ray Computed Tomography, Clinical Research, Electronic Medical Record System, Predictive Analytics, Artificial Intelligence, Decision Support Systems, AI Personalization
状态：免费试用Johns Hopkins University
您将获得的技能: Python 程序设计, 数据结构, 面向对象编程（OOP）, 软件包和软件管理, 数据操作, 编程原则, 计算逻辑, Jupyter, 文件输入/输出, 生物信息学
状态：新状态：免费试用您将获得的技能: Canva (Software), Color Theory, Typography, Creative Design, Design, Graphic and Visual Design, Graphic Design, Visual Design, Design Elements And Principles
状态：新状态：免费试用Alex Genadinik
您将获得的技能: Prompt Engineering, Prompt Patterns, Multimodal Prompts, Data Ethics, AI Enablement, Large Language Modeling, Generative AI, Target Audience
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 软件开发中的生成式 AI 简介: DeepLearning.AI
- 使用谷歌云的计算机视觉基础: Google Cloud
- 天文学探索时间与空间: University of Arizona
- 使用 TensorFlow 定制模型、层和损失函数: DeepLearning.AI
- AI Workflow: Enterprise Model Deployment: IBM
- Exam Prep DP-700: Microsoft Fabric Data Engineer Associate: Whizlabs
- Design, Develop, and Deploy Multi-Agent Systems with CrewAI: DeepLearning.AI
- AI in Clinical Decision Support & Diagnostics: Starweaver
- 基因组数据科学 Python: Johns Hopkins University
- Typography and Color Theory in Design with Canva: Coursera
