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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-cluster-analysis-and-unsupervised-learning/
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课程名称：掌握聚类分析与无监督学习 [2025] 课程概述：欢迎参加《掌握聚类分析与无监督学习》课程！聚类分析与无监督学习是机器学习和数据科学中最重要和最具定义性的任务之一。它们是数据科学家、分析师、人工智能和机器智能用于从数据中创造新见解、信息或知识的主要方法之一。此课程是一门实践性强、充满趣味的实操课程，旨在帮助学员掌握聚类分析与无监督学习的技巧。 在本课程中，您将学习到： - 理论与实践相结合，全面掌握聚类分析与无监督学习 - 使用简单与高级的聚类分析模型 - 学习K-means聚类分析、DBSCAN、层次聚类模型、主成分分析等技术 - 通过多种工具评估聚类分析模型 - 理解先进的无监督与监督学习理论，并接受自动更新的模拟介绍 - 理解真值、预测真值或基于模型的条件真值等概念 - 使用高效的图形工具判断模型性能 - 利用Scikit-learn库进行聚类分析与无监督学习，支持Matplotlib、Seaborn、Pandas和Python - 云计算：使用Anaconda Cloud Notebook（基于云的Jupyter Notebook），学习使用云计算资源 - 可选择使用Anaconda发行版（适用于Windows、Mac、Linux） - 学习Python环境基础知识，掌握Conda包管理系统及命令行安装/更新库和包的技巧 此外，课程还提供了云计算的使用选项，您可以选择使用Anaconda Cloud Notebook，或者使用任何能够运行Python的环境。 本课程旨在帮助任何想要学习掌握聚类分析与无监督学习的人。课程要求包括日常计算机使用经验（建议使用Windows、MacOS、iOS、Android、ChromeOS或Linux），必须有互联网连接，具备一定的Python技能及对Pandas库的经验。 课程包含无成本软件的使用和安装设置视频，适用于Windows 10/11。我们认为这是一门非常出色的课程，可以帮助您掌握聚类分析与无监督学习。立即注册，享受5小时以上的教学视频和手动编辑的英文字幕，完成课程后将获得结业证书！
Welcome to the course Master Cluster Analysis and Unsupervised Learning!Cluster Analysis and Unsupervised learning are one of the most important and defining tasks within machine learning and data science. Cluster Analysis and Unsupervised learning are one of the main methods for data scientists, analysts, A.I., and machine intelligences to create new insights, information or knowledge from data.This course is a practical and exciting hands-on master class video course about mastering Cluster Analysis and Unsupervised Learning.You will be taught to master some of the most useful and powerful Cluster Analysis and unsupervised learning techniques available...You will learn to:Master Cluster Analysis and Unsupervised Learning both in theory and practiceMaster simple and advanced Cluster Analysis modelsUse K-means Cluster Analysis, DBSCAN, Hierarchical Cluster models, Principal Component Analysis, and more…Evaluate Cluster Analysis models using many different toolsLearn advanced Unsupervised and Supervised Learning theory and be introduced to auto-updated SimulationsGain Understanding of concepts such as truth, predicted truth or model-based conditional truthUse effective advanced graphical tools to judge models' performanceUse the Scikit-learn libraries for Cluster Analysis and Unsupervised Learning, supported by Matplotlib, Seaborn, Pandas, and PythonCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work life.And much more…This course is an excellent way to learn to master Cluster Analysis and Unsupervised Learning!Cluster Analysis and Unsupervised Learning are considered exploratory types of data analysis and are useful for discovering new information and knowledge. Unsupervised Learning and Cluster Analysis are often viewed as one of the few ways for artificial intelligences and machine intelligences to create new knowledge or data information without human assistance or supervision, so-called supervised learning.This course provides you with the option to use Cloud Computing with the Anaconda Cloud Notebook and to learn to use Cloud Computing resources, or you may use any Python capable environment of your choice.This course is designed for everyone who wants tolearn to Master Cluster Analysis and Unsupervised LearningRequirements:Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionSome Python skill is necessary and some experience with the Pandas library is recommendedThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedThis course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Cluster Analysis, and Unsupervised Learning.Enroll now to receive 5+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
