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: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
您将获得的技能: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
状态：免费试用您将获得的技能: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Reporting, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Data Science, Machine Learning Algorithms
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：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
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, Applied Machine Learning, Data Preprocessing, Machine Learning, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Data Strategy, Scikit Learn (Machine Learning Library), Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning
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：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：新状态：预览您将获得的技能: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
状态：预览National Taiwan University
您将获得的技能: Random Forest Algorithm, Regression Analysis, Decision Tree Learning, Supervised Learning, Machine Learning, Feature Engineering, Predictive Modeling, Deep Learning, Classification Algorithms, Dimensionality Reduction, Artificial Neural Networks, Model Evaluation, Logistic Regression
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
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
- Naive Bayes 101: Resume Selection with Machine Learning: Coursera
- Machine Learning Rock Star – the End-to-End Practice: SAS
- 在 Google Cloud Dataproc 上使用 Spark 进行机器学习: Google Cloud
- Natural Language Processing - Deep Learning Models in Python: Packt
- Machine Learning with TensorFlow on Google Cloud en Español: 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
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
