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: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)
状态：免费试用您将获得的技能: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging
状态：预览The University of Chicago
您将获得的技能: 回归分析, 机器学习算法, 张力流, Scikit-learn （机器学习库）, Pandas（Python 软件包）, 监督学习, 无监督学习, 深度学习, 机器学习, 降维, 决策树学习, 应用机器学习, 统计方法, 随机森林算法, 人工神经网络, 功能工程, 分类与回归树 (CART)
状态：免费试用Illinois Tech
您将获得的技能: Deep Learning, Generative AI, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning
状态：免费试用O.P. Jindal Global University
您将获得的技能: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment
状态：免费试用IBM
您将获得的技能: 回归分析, 统计分析, 预测建模, Scikit-learn （机器学习库）, 监督学习, 机器学习, 统计建模, 性能指标, 功能工程, 分类与回归树 (CART)
状态：免费试用University of California San Diego
您将获得的技能: 回归分析, 统计分析, 预测建模, 监督学习, Apache Spark, 无监督学习, 探索性数据分析, 机器学习, 数据清理, 数据分析, 数据转换, 决策树学习, 数据挖掘, 大数据, 应用机器学习
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：新状态：免费试用University of Colorado Boulder
您将获得的技能: Applied Machine Learning, Generative Model Architectures, Unsupervised Learning, Artificial Intelligence
状态：预览University of Colorado Boulder
您将获得的技能: 监督学习, 张力流, 计算机视觉, 机器学习, 性能调整, 人工智能和机器学习（AI/ML）, 应用机器学习, 图像分析, 人工神经网络, 深度学习
状态：新状态：免费试用您将获得的技能: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Data Processing
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Applied Machine Learning, Data Transformation, Data Wrangling, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Python Programming
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Introduction to Deep Learning for Computer Vision: MathWorks
- Advanced Deep Learning Techniques for Computer Vision: MathWorks
- 机器学习：概念与应用: The University of Chicago
- Deep Learning: Illinois Tech
- Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- 有监督的机器学习：回归: IBM
- 利用大数据进行机器学习: University of California San Diego
- Advanced Methods in Machine Learning Applications: Johns Hopkins University
- Deep Learning for Computer Vision: University of Colorado Boulder
- 计算机视觉的深度学习应用: University of Colorado Boulder
