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: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
您将获得的技能: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
状态：新状态：免费试用您将获得的技能: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation
- 状态：预览
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management
Commonwealth Education Trust
您将获得的技能: 专业发展, 自我意识, 学生参与, 文化多样性, 教学法, 沟通策略, 课堂管理, 教学策略, 教学
状态：新状态：预览Northeastern University
您将获得的技能: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
状态：预览University of Houston
您将获得的技能: 多媒体, 照片编辑, 内容创作, 数字教学法, 同行评审, 音乐, 叙事, 视频编辑, 脚本, 故事板
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design
状态：免费试用University of Colorado Boulder
您将获得的技能: 文化响应, 正念, 个人发展, 儿童教育与发展, 高等教育, 情绪商数, 自我意识, 宣传, 课程规划, 增强能力, 专业发展, 课堂管理, 计划评估, 社会正义, 社交技能, 行为管理, 同理心, 成长意识, 教学, 学校心理学
状态：预览The Hong Kong University of Science and Technology
您将获得的技能: Server Side, Restful API, Ajax, Node.JS, Web Applications, Web Servers, Web Development, Model View Controller, Javascript, JavaScript Frameworks, PHP (Scripting Language), Authentications, JSON, Hypertext Markup Language (HTML), Software Architecture, Application Development, Real Time Data, Data Storage
状态：免费您将获得的技能: 数据管道, 临床数据管理, R 语言程序设计（中文版）, 机器学习, 预测建模, 预测分析, 模型评估, 应用机器学习, 数据预处理, 功能工程, 性能调整, 随机森林算法, 数据操作, 逻辑回归, 数据可视化, Tidyverse（R 软件包）
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
- Build a Machine Learning Image Classifier with Python: Coursera
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
- 为学习而教的基础为人师表: Commonwealth Education Trust
- Machine Learning and Data Analytics Part 1: Northeastern University
- 强大的教学工具：数字故事: University of Houston
- Game Development, Data Science, and Machine Learning: Packt
- 教师与社会和情感学习（SEL）: University of Colorado Boulder
