自动化学徒课程
自动学徒课程可帮助您了解如何构建、生成和分析预判定模型。您可以培养在数据准备、算法选择、优化和评估方面的能力。许多课程利用有源数据库测试模型。
自动学徒课程和通用证书
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: 云计算, 微软 Azure, 数据操作, GitHub, 应用程序部署, Pandas（Python 软件包）, 机器学习, 负责任的人工智能, NumPy, Python 程序设计, 探索性数据分析, 数据管理, Data Management, 数据分析, Devops, MLOps（机器学习 Operator）, 大数据, 集装箱化, CI/CD, 数据管道, AWS SageMaker
状态：免费试用Google Cloud
您将获得的技能: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
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：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 Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development
状态：免费试用IBM
您将获得的技能: 机器学习, 机器学习算法, 回归分析, Python 程序设计, 探索性数据分析, 应用机器学习, 数据展示, 监督学习, Scikit-learn （机器学习库）, 张力流, 数据分析, Keras（神经网络库）, 无监督学习, 人工神经网络
是什么让您今天来到 Coursera？
状态：免费试用University of Toronto
您将获得的技能: 系统架构, 深度学习, 人工智能, 模拟和模拟软件, 自动化, 人工智能和机器学习（AI/ML）, 数据结构, 估算, Algorithm, 情景测试, 控制系统, 硬件架构, Machine Learning 方法, 软件架构, 图像分析, 安全保障, 模拟, 计算机视觉, 人工神经网络, 全球定位系统
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University of Illinois Urbana-Champaign
您将获得的技能: PyTorch（机器学习库）, 机器学习, 深度学习, 人工智能和机器学习（AI/ML）, 图论, 计划发展, 医疗保健, 应用机器学习, 预测建模, 医学科学与研究, 生成模型架构, 图像分析, 张力流, 大数据, Machine Learning 方法, 健康信息学, 监督学习, 无监督学习, 计算机视觉, 人工神经网络
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
状态：新状态：免费试用University of Colorado Boulder
您将获得的技能: Linux, 脚本, 通信系统, 文件系统, C 和 C++, 计算机结构, 操作系统, 数据共享, 编程原则, 分布式计算, 可扩展性, 性能调整, 大数据, 软件架构, 云计算开发, 命令行界面, Bash（脚本语言）
Google Cloud
您将获得的技能: 深度学习, Machine Learning 方法, 应用机器学习, 性能调整, 自然语言处理, 人工神经网络
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
- 机器学习顶点课程: IBM
- 自动驾驶汽车: University of Toronto
- IBM AI Enterprise Workflow: IBM
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- Get Started with Python: Google
