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：新状态：免费试用您将获得的技能: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, LLM Application, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, Data Integration
状态：预览University of California, Santa Cruz
您将获得的技能: 教育软件和技术, 语言学习, 学习理论, 扫盲, 人类学习, 儿童教育与发展, 社会学, 实验, 人口统计, 儿童发展
状态：免费试用Howard University
您将获得的技能: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
状态：免费试用Meta
您将获得的技能: Data Governance, 数据可视化软件, 数据分析, 数据存储, 数据质量, 信息隐私, 大数据, 数据驱动的决策制定, 数据架构, 数据安全, 数据管理, 机器学习, 数据收集
状态：免费试用Rice University
您将获得的技能: 电子病历系统, 解剖学, 医疗记录, 生理学, 医学术语, 整形外科, 泌尿科, 人体肌肉骨骼系统
状态：免费试用Edureka
您将获得的技能: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression
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
Google Cloud
您将获得的技能: Google 云端平台, AI 工作流程, 数据预处理, MLOps（机器学习 Operator）, 模型部署, 应用机器学习, Jupyter
状态：预览Korea Advanced Institute of Science and Technology(KAIST)
您将获得的技能: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control
状态：预览University of California, Davis
您将获得的技能: Prompt Engineering, Generative AI, Anthropic Claude, Responsible AI, ChatGPT, LLM Application, Data Ethics, AI Enablement, Artificial Intelligence, Artificial Neural Networks, Brainstorming, Machine Learning, Deep Learning, Information Privacy
状态：新状态：预览您将获得的技能: AI Enablement, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment
总之，以下是 10 最受欢迎的 applied machine learning 课程
- Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
- 儿童自然识字: University of California, Santa Cruz
- Prompt Engineering For Everyone with ChatGPT and GPT-4: Packt
- Linear Algebra for Data Science Using Python: Howard University
- 数据管理简介: Meta
- 医学术语 I: Rice University
- PySpark for Data Science: Edureka
- Building Intelligent Troubleshooting Agents: Microsoft
- 在顶点人工智能中使用笔记本: Google Cloud
- AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
