应用机器学习课程
应用机器学习课程可以帮助您学习数据预处理、模型选择、Feature Engineering 和 Evaluation 指标。您可以掌握在实际环境中实施算法、优化性能和解释结果的技能。许多课程介绍 Python、TensorFlow 和 Scikit-learn 等工具，这些工具支持开发机器学习模型和应用 AI 技术解决实际问题。
热门应用机器学习课程和认证
状态：免费试用Duke University
您将获得的技能: 数据分析, Python 程序设计, 软件开发, 调试, 解决问题, Algorithm, 数据处理
状态：免费试用Johns Hopkins University
您将获得的技能: 数据采集, 解决方案设计, 健康信息学, 决策支持系统, 电子病历, 以用户为中心的设计, 医疗保健伦理, 健康信息管理, 可用性测试, 需求征询, 临床信息学, 人工智能和机器学习（AI/ML）
状态：免费试用University of Glasgow
您将获得的技能: Data Mining, Deep Learning, Health Informatics, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence, Recurrent Neural Networks (RNNs), Data Preprocessing, Logistic Regression
您将获得的技能: Technical Analysis, Google Sheets, Market Data, Data Visualization, Trend Analysis, Web Scraping, Data Visualization Software
状态：免费试用University of Colorado Boulder
您将获得的技能: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Statistics, Applied Mathematics, Logistic Regression, Probability Distribution
状态：免费试用Universidad de Palermo
您将获得的技能: Team Motivation, Team Building, Teamwork, Recognizing Others, Professional Development, Communication, Human Learning, Creativity, Education and Training, Student Engagement, Sustainable Systems, Emotional Intelligence, Leadership
状态：新状态：免费试用您将获得的技能: LangGraph, Generative AI Agents, AI Orchestration, Agentic systems, AI Workflows, OpenAI API, LLM Application, Agentic Workflows, Prompt Patterns, OpenAI, Large Language Modeling, AI Enablement, Retrieval-Augmented Generation, Artificial Intelligence, Semantic Web, Development Environment, Tool Calling, Microsoft Azure, AI Personalization, Microsoft Development Tools
状态：预览University of Washington
您将获得的技能: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming
您将获得的技能: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
状态：免费试用Emory University
您将获得的技能: Marketing Analytics, AI Personalization, Data-Driven Decision-Making, Marketing Strategies, Marketing, AI Enablement, Marketing Effectiveness, Responsible AI, Customer experience improvement, Artificial Intelligence, Customer Insights, Data Collection
状态：免费Goldman Sachs
您将获得的技能: 招聘, 沟通, 绩效管理, 增长战略, 企业管理, 员工培训, 人力资源管理与规划, 管理团队, 组织结构, 组织战略, 员工绩效管理, 授权技巧, 人员管理, 分包
状态：预览The State University of New York
您将获得的技能: 专业发展, 高等教育, 可信度, 适应, 设定目标, 数字扫盲, 沟通, 克服障碍, 文化多样性, 解决问题, 团队合作, 协作, 跨文化能力, 时间管理, 教育与培训, 个人发展
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Python 编程基础: Duke University
- 卫生信息学的成果和干预措施: Johns Hopkins University
- Capstone Assignment - CDSS 5: University of Glasgow
- Building Candlestick Charts with Google Sheets: Coursera
- Resampling, Selection and Splines: University of Colorado Boulder
- Motivando Equipos de Trabajo: Universidad de Palermo
- AI Agents with LangGraph, Semantic Kernel, and AutoGen: Packt
- 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
- LLM Engineering with RAG: Optimizing AI Solutions: Coursera
- What Can AI Do for Marketing?: Emory University
