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。

Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability
高级设置 · 课程 · 1-3 个月

您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms
初级 · 指导项目 · 不超过 2 小时

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
混合 · 课程 · 1-4 周

您将获得的技能: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
中级 · 课程 · 3-6 个月

Duke University
您将获得的技能: 微软 Azure, 计算机视觉, MLOps(机器学习 Operator), 机器学习, 持续交付, Flask(网络框架), 云应用, Google 云端平台, 模型部署, 应用编程接口 (API), 应用机器学习, 自然语言处理, 人工智能和机器学习(AI/ML)
中级 · 课程 · 1-4 周

Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 物流管理, 价值主张, 持续改进流程, 新产品开发, 消费者行为, 协调, 供应链管理, 库存管理系统, 企业可持续发展, 质量管理, 供应链规划, 运行效率, 供应商管理, 供应链
混合 · 课程 · 1-3 个月

您将获得的技能: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis
初级 · 指导项目 · 不超过 2 小时

University of Michigan
您将获得的技能: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
初级 · 课程 · 1-4 周

您将获得的技能: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
高级设置 · 指导项目 · 不超过 2 小时

Commonwealth Education Trust
您将获得的技能: 学习理论, 以学生为中心的学习, 教学法, 教育与培训, 教学和课程设计, 教学策略, 教学, 协作, 规划, 课程开发
混合 · 课程 · 1-3 个月