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University of Michigan
您将获得的技能: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
您将获得的技能: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Model Evaluation, Classification Algorithms, Data Science, Python Programming
您将获得的技能: Education Software and Technology, Digital pedagogy
您将获得的技能: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping
状态：新状态：免费试用Birla Institute of Technology & Science, Pilani
您将获得的技能: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation
状态：免费试用EDHEC Business School
您将获得的技能: 投资组合风险, 统计方法, 机器学习, 监督学习, 回归分析, 降维, 资产管理, 预测分析, 无监督学习, Jupyter, 计算机科学, 金融市场, 应用机器学习, 金融建模, 投资组合管理, 投资管理
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 数据伦理, MLOps（机器学习 Operator）, 数据清理, 机器学习, 机器学习算法, 数据预处理, Data Validation, 监督学习, 数据质量, 产品生命周期管理, 分类算法, 模型部署, 功能工程, 决策树学习, 应用机器学习, Jupyter, 业务运营, 模型评估, 项目管理, 负责任的人工智能
状态：新状态：免费试用您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
状态：新状态：免费试用Dartmouth College
您将获得的技能: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference
Google Cloud
您将获得的技能: Model Evaluation, Google Cloud Platform, Big Data, Applied Machine Learning, Predictive Modeling, Analytics, Predictive Analytics, Machine Learning, SQL
状态：免费试用Google Cloud
您将获得的技能: 数据伦理, 可行性研究, 机器学习, 创新, Data Governance, 数据战略, Google 云端平台, 模型部署, 应用机器学习, 模型评估, 图像分析, 商业分析, AI 赋能, 负责任的人工智能
您将获得的技能: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Exploring Generative AI for Learning Design: University of Michigan
- Titanic Survival Prediction Using Machine Learning: Coursera
- Creating Interactive Learning Videos with Edpuzzle: Coursera
- Auto Machine Learning (AutoML) Using AutoGluon : Coursera
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- 用于资产管理的 Python 和机器学习: EDHEC Business School
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Machine Learning with Python: Case Studies: EDUCBA
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- Getting Started with BigQuery Machine Learning: Google Cloud
