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
IBM
您将获得的技能: 机器学习算法, 大数据, 机器学习方法, Scikit Learn（机器学习库）, 机器学习, 算法, 无监督学习, 数据预处理, Algorithm, 模型评估, 应用机器学习, Model Evaluation, 文本挖掘, 降维
DeepLearning.AI
您将获得的技能: 机器学习方法, 机器学习算法, 机器学习, 负责任的人工智能, 人工智能个性化, 模型优化, 人工智能, 异常检测, 无监督学习, 人工神经网络, 监督学习, 应用机器学习, 深度学习, 强化学习, 数据伦理, 降维
Coursera
您将获得的技能: Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Applied Machine Learning, Supervised Learning, Geospatial Mapping, Predictive Modeling, Image Analysis, Verification And Validation, Data Science, Environmental Engineering
University of Michigan
您将获得的技能: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Supervised Learning, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis
多位教师
您将获得的技能: 负责任的人工智能, 机器学习算法, 机器学习方法, 人工智能, 分类算法, Scikit Learn（机器学习库）, 机器学习, 无监督学习, 深度学习, 监督学习, Jupyter, 应用机器学习, 模型评估, Model Evaluation, NumPy, Transfer Learning, 张力流, 决策树学习, 数据伦理, 模型培训, 迁移学习, 预测建模
University of Colorado Boulder
您将获得的技能: Machine Learning Methods, Feature Engineering, Model Evaluation, Linear Algebra
是什么让您今天来到 Coursera？
您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
O.P. Jindal Global University
您将获得的技能: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms
University of Colorado Boulder
您将获得的技能: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics
您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning
IBM
您将获得的技能: 生成式人工智能, 微调, 自动编码器, 无监督学习, 人工智能和机器学习（AI/ML）, 机器学习方法, 人工智能, 递归神经网络 (RNN), 生成式对抗网络（GANs）, 计算机视觉, 图像分析, 机器学习, 模型优化, 卷积神经网络, 人工神经网络, 深度学习, Transfer Learning, 生成模型架构, Keras（神经网络库）, 强化学习, 迁移学习
DeepLearning.AI
您将获得的技能: 线性代数, Python 编程, 机器学习, 机器学习方法, 数据转换, 图像分析, 数据操作, 数学软件, 应用数学, 降维, 代数
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 无监督机器学习: IBM
- 无监督学习、推荐器、强化学习: DeepLearning.AI
- Train ML Models: Coursera
- Applied Unsupervised Learning in Python: University of Michigan
- 机器学习: DeepLearning.AI
- Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
- The Nuts and Bolts of Machine Learning: Google
- Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- Trees, SVM and Unsupervised Learning: University of Colorado Boulder
- Deep Learning with Real-World Projects: Packt
