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University of Michigan
您将获得的技能: Python 程序设计, 调试, 数据结构, 编程原则, 计算机图形学, 图表设计, 计算机编程, 计划发展
状态：免费试用Macquarie University
您将获得的技能: 生产率, 终身学习, 个人发展, 领导力培养, 文化多样性, 时间管理, 工作场所的包容性, 沟通, 跨文化能力, 商务写作, 自我意识, 适应, 压力管理, 商业道德, 弹性, 文化敏感性, 认知灵活性, 多样性意识, 专业发展, 多样性与包容性
Duke University
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Python Programming, Machine Learning
状态：新状态：免费试用您将获得的技能: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: 微积分, 机械, 应用数学, 振动, 数学建模, 微分方程
状态：新状态：免费试用Microsoft
您将获得的技能: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination
状态：免费试用University of Colorado Boulder
您将获得的技能: 物理学, 材料科学, 电子工程, 半导体, 应用数学, 电子产品, 数学建模, 电气工程, 电子元件, 电子系统, 电气与计算机工程, 电子硬件
Google Cloud
您将获得的技能: 张力流, Google 云端平台, MLOps（机器学习 Operator）, Machine Learning 方法, 数据管道, 模型评估, 模型部署, 阿帕奇气流, 机器学习, 云计算
状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Classification Algorithms, Decision Support Systems, Model Evaluation, Performance Tuning
状态：新状态：预览您将获得的技能: OpenAI API, LLM Application, Vector Databases, Generative AI Agents, Tool Calling, Embeddings, Retrieval-Augmented Generation, Prompt Patterns, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Agentic systems, Large Language Modeling, TypeScript, Responsible AI, Software Development, Real Time Data, Web Scraping, Software Design Patterns
状态：预览The University of Edinburgh
您将获得的技能: 科学与研究, 人类学习, 机器人, 人类学, 人工智能, 人为因素, 心理学
状态：预览Yale University
您将获得的技能: 学习策略, 教育软件和技术, 个性化教育计划（IEP）, 扫盲, 特殊教育, 诊断测试, 宣传, 残疾, 心理评估, 弹性, 儿童发展, 学生支持与服务, 学校心理学, 与儿童一起工作
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Python 基础: University of Michigan
- 适应：职业发展: Macquarie University
- Introduction to Retrieval Augmented Generation (RAG): Duke University
- Data Science Fundamentals Part 1: Unit 1: Pearson
- 微分方程 第一部分 基本理论: Korea Advanced Institute of Science and Technology(KAIST)
- Building multi-agent systems: Microsoft
- 半导体器件: University of Colorado Boulder
- 利用 Airflow 协调 TFX 管道: Google Cloud
- Building Intelligent Troubleshooting Agents: Microsoft
- Build a Support Agent with Vercel AI SDK: Scrimba
