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找到最适合您目标的 Machine Learning 课程
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
状态：免费试用Duke University
您将获得的技能: 机器学习, 数据管道, 探索性数据分析, 数据管理, 云计算, MLOps（机器学习 Operator）, 应用程序部署, 负责任的人工智能, 数据分析, GitHub, Pandas（Python 软件包）, 数据操作, CI/CD, AWS SageMaker, Python 程序设计, 大数据, 集装箱化, Devops, 微软 Azure, NumPy
状态：免费试用Google Cloud
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development
状态：免费试用您将获得的技能: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), CI/CD, Cloud Computing, Technical Communication, Unit Testing, Web Services, Email Automation, Configuration Management, Automation, Python Programming, Interviewing Skills, Professional Development, Scripting
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
状态：免费试用IBM
您将获得的技能: 机器学习, 回归分析, 探索性数据分析, 监督学习, 无监督学习, 张力流, 数据分析, 数据展示, Python 程序设计, 人工神经网络, 机器学习算法, 应用机器学习, Scikit-learn （机器学习库）, Keras（神经网络库）
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: 命令行界面, 操作系统, 通信系统, 数据共享, Linux, 可扩展性, 编程原则, 文件系统, 大数据, 分布式计算, 性能调整, 软件架构, 云计算开发, 计算机结构, 脚本, Bash（脚本语言）, C 和 C++
状态：免费试用University of Toronto
您将获得的技能: Algorithm, Machine Learning 方法, 人工智能, 模拟, 数据结构, 人工神经网络, 人工智能和机器学习（AI/ML）, 系统架构, 计算机视觉, 模拟和模拟软件, 估算, 情景测试, 控制系统, 自动化, 软件架构, 安全保障, 图像分析, 硬件架构, 全球定位系统, 深度学习
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 机器学习, 张力流, 无监督学习, Machine Learning 方法, 监督学习, 图论, 计算机视觉, 健康信息学, 人工神经网络, 计划发展, 医学科学与研究, 预测建模, 生成模型架构, PyTorch（机器学习库）, 应用机器学习, 人工智能和机器学习（AI/ML）, 医疗保健, 大数据, 图像分析, 深度学习
状态：免费试用Google
您将获得的技能: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging
Machine Learning 学习者还可以搜索
总之，以下是 10 最受欢迎的 machine learning 课程
- The Nuts and Bolts of Machine Learning: Google
- MLOps | 机器学习运营: Duke University
- Advanced Machine Learning on Google Cloud: Google Cloud
- Google Advanced Data Analytics: Google
- IBM RAG and Agentic AI: IBM
- Google IT Automation with Python: Google
- IBM AI Enterprise Workflow: IBM
- 机器学习顶点课程: IBM
- 高性能和并行计算: University of Colorado Boulder
- 自动驾驶汽车: University of Toronto
