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
Coursera
您将获得的技能: 模型培训, 预测建模, 数据预处理, 时间序列分析和预测, 应用机器学习, 分类算法, 无监督学习, 功能工程, 异常检测, 降维, 机器学习, Model Evaluation, 预测, 机器学习算法, 预测分析, 决策树学习, 监督学习, 机器学习软件, 数据操作, Scikit Learn（机器学习库）, 模型评估
MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning
Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Tensorflow, LLM Application, Transfer Learning, Computer Vision, Fine-tuning, Responsible AI, Generative Model Architectures, Model Training, Natural Language Processing, Embeddings, Artificial Neural Networks
DeepLearning.AI
您将获得的技能: 持续监测, 模型培训, 数据综合, 应用机器学习, MLOps（机器学习运营）, 数据预处理, 数据验证, 数据收集, 模型部署, 持续部署, 应用程序部署, 模型优化, Model Evaluation, 机器学习, 数据质量, 数据完整性, Data Validation, 非结构化数据, 数据维护, 模型评估, 系统监控
IBM
您将获得的技能: 模型培训, 业务逻辑, 预测建模, 抽样（统计）, 数据预处理, 应用机器学习, 分类算法, 随机森林算法, 模型优化, Model Evaluation, 机器学习, 机器学习算法, 决策树学习, 机器学习方法, 逻辑回归, 统计机器学习, 数据清理, 回归分析, 监督学习, 模型评估, Scikit Learn（机器学习库）
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis
Coursera
您将获得的技能: 模型培训, 拥抱的脸, 数据预处理, 人工智能和机器学习（AI/ML）, 模型优化, 分类算法, 数据处理, 机器学习方法, 机器学习软件
University of Colorado Boulder
您将获得的技能: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm
University of Colorado Boulder
您将获得的技能: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Feature Engineering, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Anomaly Detection, Algorithms
您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning
University of Michigan
您将获得的技能: 人工神经网络, 模型培训, 预测建模, 应用机器学习, Python 编程, 分类算法, 模型优化, 无监督学习, 功能工程, Model Evaluation, 机器学习, 机器学习算法, 机器学习方法, 监督学习, Scikit Learn（机器学习库）, 模型评估
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 机器学习基础: Coursera
- Deep Learning for Computer Vision: MathWorks
- Learning Deep Learning: Pearson
- 生产中的 Machine Learning: DeepLearning.AI
- 有监督的机器学习：分类: IBM
- AI ML with Deep Learning and Supervised Models: Simplilearn
- 高级机器学习技术: Coursera
- Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
- Supervised Learning Regression Classification Clustering: Simplilearn
- Clustering Analysis: University of Colorado Boulder
