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：预览Google Cloud
您将获得的技能: 数据处理, 模型部署, Google 云端平台, MLOps（机器学习 Operator）, 数据建模, 数据安全, 数据存储技术, 功能工程, 数据管理
您将获得的技能: Pandas (Python Package), Data Analysis, Data Manipulation, Data Wrangling, NumPy, Python Programming
状态：免费您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
状态：预览Universitat Autònoma de Barcelona
您将获得的技能: Student-Centred Learning, Entrepreneurship, Train The Trainer, Design Thinking, Digital pedagogy, Problem Solving, Innovation, Creative Thinking, Higher Education, Ideation, Collaboration, Analysis
您将获得的技能: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Model Deployment, Machine Learning, Model Evaluation, Natural Language Processing
状态：预览您将获得的技能: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning
Commonwealth Education Trust
您将获得的技能: Lesson Planning, Professional Development, Constructive Feedback, Growth Mindedness, Self-Awareness, Collaboration, Personal Development, Empathy, Goal Setting, Adaptability
您将获得的技能: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Model Deployment, Natural Language Processing
状态：新您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
状态：新状态：免费试用University of Cambridge
您将获得的技能: Human Learning, Child Development, Teaching, Learning Theory, Instructional Strategies, Pedagogy, Learning Strategies, Developmental Disabilities, Working With Children, Disabilities, Autism Spectrum Disorders, Special Education, Differentiated Instruction, Neurology
状态：免费试用Northeastern University
您将获得的技能: 数据驱动的决策制定, 决策支持系统, 健康信息学, 客户体验战略（CX）, 医疗保健行业知识, 预测分析, 人工智能和机器学习（AI/ML）, 商业分析, 性能指标, 应用机器学习, 分析, 流程制图
状态：免费试用您将获得的技能: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Preprocessing, Data Quality, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Jupyter, Big Data, Artificial Neural Networks
与 unsupervised learning 相关的搜索
总之，以下是 10 最受欢迎的 unsupervised learning 课程
- 使用 Vertex AI 进行机器学习操作 (MLOps)：管理功能: Google Cloud
- Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera
- MLOps in R: Deploying machine learning models using vetiver: Coursera
- Co-creation and challenge-based learning in Higher Education: Universitat Autònoma de Barcelona
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- Getting Started with Machine Learning at the Edge on Arm: Arm
- Foundations of Teaching for Learning Capstone: The Reflective Practitioner: Commonwealth Education Trust
- Introduction to AI and Machine Learning on GC - Français: Google Cloud
- Real-world End to End Machine Learning Ops on Google Cloud: Packt
- Learning and memory in the brain: a guide for teachers: University of Cambridge
