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
Commonwealth Education Trust
您将获得的技能: 同行评审, 课程规划, 撰写报告, 教育与培训, 统计分析, 调查, 学生参与, 教学策略, 教学, 教学和课程设计
状态：免费试用您将获得的技能: Feature Engineering, Responsible AI, Tensorflow, Model Evaluation, Exploratory Data Analysis, Data Quality, Model Deployment, Data Cleansing, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, MLOps (Machine Learning Operations), Machine Learning, Data Pipelines, Logistic Regression, Supervised Learning, Performance Tuning, Dataflow, Artificial Neural Networks, Applied Machine Learning
状态：免费试用您将获得的技能: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling
状态：预览The Hong Kong University of Science and Technology
您将获得的技能: HTML and CSS, jQuery, Web Design and Development, Javascript, Web Development, Animations, Front-End Web Development, Web Applications, Event-Driven Programming, Debugging
状态：预览University of Houston
您将获得的技能: 沟通, 通信系统, 数字通信, 协作, 数字扫盲, 协作软件, 技术战略, 学习管理系统, 数字教学法, 教育软件和技术, 网络应用, 教学
状态：新状态：预览Università di Napoli Federico II
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Data Ethics, Scalability
状态：免费试用您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Google Cloud
您将获得的技能: 迁移学习, 深度学习, 机器学习, 卷积神经网络, 张力流, 应用机器学习, Keras（神经网络库）, 图像分析
您将获得的技能: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)
状态：预览您将获得的技能: Team Performance Management, Generative AI Agents, Gap Analysis, Management Training And Development, Workforce Development, People Development, Training Programs, AI Enablement, Employee Training, Talent Management, Team Management, Performance Analysis, Needs Assessment
状态：免费Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 为学习而教的基础学生评估入门: Commonwealth Education Trust
- Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
- Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
- Learning HTML, CSS and JavaScript through Game Development: The Hong Kong University of Science and Technology
- 强大的教学工具：Web 2.0 工具: University of Houston
- Français Débutant A1: Università di Napoli Federico II
- Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
- Foundations of Data Science and Machine Learning with Python: Packt
- 利用迁移学习对猫狗图像进行分类: Google Cloud
- Machine Learning: Random Forest with Python from Scratch©: Packt
