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：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing
状态：免费试用您将获得的技能: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
状态：免费试用您将获得的技能: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Google Cloud
您将获得的技能: Apache Spark, Google 云端平台, 大数据, 预测建模, 数据预处理, 应用机器学习, 逻辑回归, 模型评估
状态：预览National Taiwan University
您将获得的技能: Feature Engineering, Autoencoders, Machine Learning Algorithms, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Applied Machine Learning, Machine Learning, Classification Algorithms, Deep Learning, Model Evaluation, Artificial Neural Networks, Dimensionality Reduction, Embeddings, Logistic Regression
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation
状态：预览您将获得的技能: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis
Commonwealth Education Trust
您将获得的技能: 同行评审, 课程规划, 撰写报告, 教育与培训, 统计分析, 调查, 学生参与, 教学策略, 教学, 教学和课程设计
状态：新状态：预览Università di Napoli Federico II
状态：免费试用New York University
您将获得的技能: 市场动态, 风险, 强化学习, 金融交易, 机器学习, 衍生产品, 金融, 市场流动性, 金融建模, 金融市场, 信用风险, 市场数据
状态：免费试用您将获得的技能: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Data Preprocessing, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Deep Learning with ANN in Python: Build & Optimize: EDUCBA
- Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
- Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
- Natural Language Processing - Deep Learning Models in Python: Packt
- 在 Google Cloud Dataproc 上使用 Spark 进行机器学习: Google Cloud
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Four Rare Machine Learning Skills All Data Scientists Need: SAS
- 为学习而教的基础学生评估入门: Commonwealth Education Trust
- Français Débutant A1: Università di Napoli Federico II
