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：预览Kennesaw State University
您将获得的技能: 写作, 简明扼要, 同行评审, 校对, 业务沟通, 专业精神, 编辑, 目标受众, 商务写作, 商务信函, 建设性反馈, 记录会议记录, 语法
状态：免费试用University of Michigan
您将获得的技能: Python 程序设计, 软件设计, 统一模型语言, 面向对象编程（OOP）, 计算机编程, 软件工程, 图像分析, 计算机视觉, 应用编程接口 (API), 集成开发环境, Jupyter
状态：新状态：预览您将获得的技能: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
状态：免费试用University of Colorado Boulder
您将获得的技能: Linux, 脚本, 可扩展性, 分布式计算, 操作系统, 命令行界面, 文件系统, 计算机结构, 性能调整, Bash（脚本语言）, 编程原则, 大数据
您将获得的技能: Convolutional Neural Networks, Tensorflow, Image Analysis, Google Cloud Platform, Model Deployment, Computer Vision, Data Preprocessing, Applied Machine Learning, Data Collection, Software Visualization
状态：预览University of Toronto
您将获得的技能: Python 程序设计, 数据结构, 面向对象编程（OOP）, 单元测试, 计算思维, 调试, 软件测试, Algorithm, 测试自动化, 计划发展, 测试案例
状态：免费试用University of Washington
您将获得的技能: Python 程序设计, 统计建模, Data Validation, R 语言程序设计（中文版）, 研究, 统计, 数据整合, 预测分析, 模型评估, 数据分析, 预测建模, 功能工程, 数据预处理, 数据收集, 应用机器学习, 数据整理, 数据科学
28DIGITAL
您将获得的技能: 应用数学, 线性代数, 计算逻辑, 数学建模, 验证和确认, 组合学, 算术, 逻辑推理, 理论计算机科学, Algorithm
状态：免费试用Fractal Analytics
您将获得的技能: Responsible AI, Data Ethics, Generative AI, Human Centered Design, Problem Solving, AI Security, AI Enablement, Business Leadership, Strategic Leadership, AI Product Strategy, Generative Adversarial Networks (GANs), Business Strategy, Ethical Standards And Conduct, Analytical Skills, Strategic Thinking, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation
状态：新状态：免费试用University of Colorado System
您将获得的技能: Responsible AI, Agentic systems, Data Ethics, Agentic Workflows, AI Enablement, Artificial Intelligence, Healthcare Ethics, AI Workflows, AI Security, AI Orchestration, Applied Machine Learning, Health Technology, AI Personalization, Health Systems, Solution Design, Predictive Modeling, Predictive Analytics
状态：免费试用University of Pennsylvania
您将获得的技能: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Model Evaluation, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Science, Machine Learning
状态：预览University of Pennsylvania
您将获得的技能: Prompt Engineering, Data Ethics, ChatGPT, Responsible AI, AI Personalization, Student Engagement, Generative AI Agents, Generative AI, Ethical Standards And Conduct, Education Software and Technology, Artificial Intelligence, Digital pedagogy, Teaching, Instructional Strategies
总之，以下是 10 最受欢迎的 applied machine learning 课程
- 撰写专业电子邮件和备忘录（以项目为中心的课程）: Kennesaw State University
- Python 项目：软件工程和图像处理: University of Michigan
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- 高性能和并行计算简介: University of Colorado Boulder
- Identify Horses or Humans with TensorFlow and Vertex AI: Google Cloud
- 学习编程：编写高质量代码: University of Toronto
- 规模数据科学--顶点项目: University of Washington
- 自动推理：可满足性: 28DIGITAL
- Leadership Strategies for AI and Generative AI: Fractal Analytics
- AI Agents in Healthcare and Capstone: University of Colorado System
