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
您将获得的技能: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
状态：免费试用University of California, Irvine
您将获得的技能: 语言能力, 语法, 语言学习, 英语, 词汇
您将获得的技能: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis
您将获得的技能: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing
状态：新状态：免费试用您将获得的技能: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: 以学生为中心的学习, 文化多样性, 教学法, 研究, 课程开发, 教学策略, 人类学习, 媒体与传播, 教学, 差异化教学
状态：免费试用Microsoft
您将获得的技能: 负责任的人工智能, 模型部署, 信息隐私, 数据管道, MLOps（机器学习 Operator）, 持续监测, 机器学习, 模型评估, 数据预处理, 数据伦理, 云计算, 微软 Azure, 性能调整, 数据库, 数据安全
状态：免费试用CertNexus
您将获得的技能: 负责任的人工智能, 数据驱动的决策制定, MLOps（机器学习 Operator）, 监管合规, 解决方案设计, 项目实施, 业务解决方案, 数据伦理, AI 赋能, 机器学习算法, 机器学习, 商业道德, 合规管理, 人工智能和机器学习（AI/ML）, 应用机器学习, AI 产品战略, 模型评估
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
状态：新状态：免费Amazon Web Services
您将获得的技能: Education Software and Technology, Generative AI, Game Design, Digital pedagogy
状态：免费试用您将获得的技能: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, 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
- Machine Learning – Modern Computer Vision & Generative AI: Packt
- 学习英语：初级语法: University of California, Irvine
- Basics of Chatbots with Machine Learning & Python: Packt
- Matrix Calculus for Data Science & Machine Learning: Packt
- Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
- Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
- 识字教学：目标、方法和教学法: University of Illinois Urbana-Champaign
- 使用 Azure 构建和运行机器学习解决方案: Microsoft
- 用人工智能和机器学习解决业务问题: CertNexus
- Deep Learning RNN & LSTM: Stock Price Prediction: EDUCBA
