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Corporate Finance Institute
您将获得的技能: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
您将获得的技能: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment
状态：免费试用University of Glasgow
您将获得的技能: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation
状态：免费试用Imperial College London
您将获得的技能: 自动编码器, 贝叶斯统计, 深度学习, 生成模型架构, 抽样（统计）, 应用机器学习, 无监督学习, 张力流, 图像分析, 概率分布
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Generative AI, Data Preprocessing, Continuous Monitoring
Google Cloud
您将获得的技能: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL
状态：免费试用Johns Hopkins University
您将获得的技能: 统计假设检验, 交互式数据可视化, 回归分析, R 语言程序设计（中文版）, Plotly, 统计推理, 数据展示, 统计建模, 概率与统计, 机器学习, GitHub, 统计机器学习, 机器学习算法, 统计分析, 探索性数据分析, Rmarkdown, 预测建模, 模型评估, 闪亮（R 套件）, 数据可视化
状态：预览Sungkyunkwan University
您将获得的技能: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 计算机科学, 协作软件, 创新, 教育软件和技术, 新兴技术, 数字教学法, 人工智能, 互动设计, 教学策略
您将获得的技能: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
状态：免费试用Google Cloud
您将获得的技能: 金融交易, 模型部署, 技术分析, 监督学习, 机器学习, 深度学习, 统计机器学习, 财务预测, 时间序列分析和预测, 金融, 应用机器学习, 人工神经网络, Machine Learning 方法, 模型评估, 机器学习算法, 预测建模, 证券交易, 人工智能和机器学习（AI/ML）, Google 云端平台, 云平台
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Data Science & Machine Learning Fundamentals: Corporate Finance Institute
- Support Interactive Learning with Genially: Coursera
- Machine Learning and its Applications: University of Glasgow
- Practical Deep Learning with Python: Edureka
- 使用 TensorFlow 2 进行概率深度学习: Imperial College London
- Building a Machine Learning Solution: Coursera
- Bracketology with Google Machine Learning: Google Cloud
- 数据科学：统计与机器学习: Johns Hopkins University
- Machine Learning for Smart Beta: Sungkyunkwan University
- 泛在学习和教学技术: University of Illinois Urbana-Champaign
