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：免费试用您将获得的技能: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Office, Microsoft Outlook, Productivity Software, Workflow Management, AI Enablement, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Presentations, Generative AI, Identity and Access Management, Data Security
状态：免费试用Columbia University
您将获得的技能: 微软Excel, 应用数学, 风险分析, 分析, 现金流量, 证券（金融）, 衍生产品, 数学建模, 按揭贷款, 证券交易, 风险模型, 信用风险, 投资银行, 金融市场, 金融建模
状态：免费试用Microsoft
您将获得的技能: 数据库, 关系数据库, 数据湖, 云服务, 测试计划, SQL, 数据存储, 数据仓库, NoSQL, 微软 Azure, 分析
状态：免费试用您将获得的技能: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
状态：免费试用University of Colorado Boulder
您将获得的技能: 心理学, 人工智能, 计算机科学, 计算思维, 人类学习, 理论计算机科学, Algorithm
状态：免费试用Politecnico di Milano
您将获得的技能: 社会学, 负责任的人工智能, 社会影响
状态：免费试用您将获得的技能: Model Deployment, Dataflow, Data Pipelines, Google Cloud Platform, Real Time Data, Data Lakes, Data Import/Export, Tensorflow, Extract, Transform, Load, PySpark, Data Governance, Apache Spark, Dashboard, Data Quality, Unstructured Data, Big Data, Data Store, Data Warehousing, Metadata Management, Feature Engineering
状态：新状态：免费试用您将获得的技能: Test Planning, Prompt Engineering, Version Control, OpenAI API, Debugging, Google Gemini, Software Design Patterns, Object Oriented Design, Software Testing, Test Tools, GitLab, Responsible AI, Infrastructure as Code (IaC), Application Programming Interface (API), Mobile Development, Front-End Web Development, Back-End Web Development, Application Development, GitHub, Artificial Intelligence and Machine Learning (AI/ML)
Google Cloud
您将获得的技能: Google Gemini, Customer Analysis, Text Mining, Customer Insights, Google Cloud Platform, Data Management, Image Analysis, Big Data, Customer experience improvement, Unstructured Data, SQL, Data Analysis, Statistical Reporting, Machine Learning
状态：免费试用Duke University
您将获得的技能: 基础设施即服务（IaaS）, 无服务器计算, 技术文档, 云平台, 云计算, 软件开发, Devops, 云基础设施, 平台即服务（PaaS）, 基础设施即代码（IaC）, CI/CD, 敏捷软件开发, GitHub, 技术交流, 持续交付
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 数据结构, 数据操作, JSON, 网页抓取, 还原式 API, 数据持久性, 应用编程接口 (API), 数据转换, 数据处理, 数据收集
状态：免费试用University of Colorado System
您将获得的技能: 脚本, C#（编程语言）, Unity 引擎, 视频游戏开发, 面向对象编程（OOP）, 用户界面（UI）, 数据存储, 调试, 计算机编程, 游戏设计, 开发环境
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Introduction to Microsoft 365 Copilot: Microsoft
- 期限结构和信用衍生工具: Columbia University
- 准备 DP-900：Microsoft Azure 数据基础知识考试: Microsoft
- Data Structures and Algorithms: The Complete Masterclass: Packt
- 什么是 "心灵"，什么是人工智能？: University of Colorado Boulder
- 人工智能伦理: Politecnico di Milano
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
- Building Smarter Software: GenAI Tools and Practices: Coursera
- Analyze Customer Reviews with Gemini Using SQL: Google Cloud
- 云计算基础: Duke University
