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：免费试用您将获得的技能: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
Coursera
您将获得的技能: Python 程序设计, 人工神经网络, 机器学习, 数据导入/导出, 测试数据, 数据处理, Keras（神经网络库）, 性能调整, 应用机器学习, 图像分析, ChatGPT
状态：免费试用Johns Hopkins University
您将获得的技能: Computer Vision, Supervised Learning, Image Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Machine Learning, JSON, Data Processing, Natural Language Processing, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming
状态：免费试用您将获得的技能: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
状态：免费试用您将获得的技能: Keras (Neural Network Library), Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Network Architecture, Data Processing
状态：免费试用Johns Hopkins University
您将获得的技能: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing
状态：免费试用Fractal Analytics
您将获得的技能: 预测建模, 机器学习算法, 监督学习, Algorithm, 人工智能和机器学习（AI/ML）, 随机森林算法, 回归分析, 功能工程, 决策树学习, 分类与回归树 (CART), 性能调整, 应用机器学习
您将获得的技能: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Anomaly Detection, Machine Learning Methods, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Machine Learning Algorithms, Algorithms
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, 数据清理, 预测建模, 机器学习算法, 人工神经网络, 监督学习, 机器学习, 数据转换, 人工智能和机器学习（AI/ML）, 降维, 随机森林算法, 数据处理, 无监督学习, 应用机器学习
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Applied Machine Learning with Python: Edureka
- 使用 ChatGPT 进行机器学习：图像分类模型: Coursera
- Applied Machine Learning: Techniques and Applications: Johns Hopkins University
- Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
- Exploratory Data Analysis & Core ML Algorithms: Packt
- Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Machine Learning and Human Learning: University of Illinois Urbana-Champaign
- 高级机器学习算法: Fractal Analytics
- Scikit-Learn For Machine Learning Classification Problems: Coursera
