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, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
状态：免费试用Duke University
您将获得的技能: 云计算, 拥抱的脸, 集装箱化, 微软 Azure, Python 程序设计, 探索性数据分析, 模型部署, 机器学习, GitHub, 数据分析, Devops, Pandas（Python 软件包）, NumPy, 数据操作, AWS SageMaker, 负责任的人工智能, 大数据, 云部署, 数据管理, MLOps（机器学习 Operator）
状态：免费试用您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, AI Security, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Responsible AI, Embeddings, Software Development
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Image Analysis, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning
状态：免费试用您将获得的技能: Data Storytelling, Data Visualization, A/B Testing, Sampling (Statistics), Data Analysis, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Data Ethics, Feature Engineering, Statistical Hypothesis Testing, Statistics, Statistical Analysis, Data Science, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
状态：免费试用IBM
您将获得的技能: 统计分析, 回归分析, 预测建模, 无监督学习, Python 程序设计, Scikit-learn （机器学习库）, 技术交流, 机器学习, 探索性数据分析, 人工神经网络, 深度学习, 应用机器学习, 数据分析, 数据挖掘, 监督学习
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
状态：新状态：免费试用Coursera
您将获得的技能: Model Deployment, PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Performance Tuning, Applied Machine Learning, Deep Learning, Vision Transformer (ViT), Tensorflow, Cloud Computing, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
状态：免费试用University of Illinois Urbana-Champaign
您将获得的技能: 生成对抗网络 (GAN), 卷积神经网络, 自动编码器, 模型部署, 医学科学与研究, 机器学习, 应用机器学习, 深度学习, 人工神经网络, 大数据, 递归神经网络 (RNN), 图像分析, Machine Learning 方法, 医疗保健项目管理, 图论, 健康信息学, Model Evaluation, 监督学习, 医疗保健, 嵌入
状态：免费试用University of Toronto
您将获得的技能: 卷积神经网络, 系统架构, 机器控制, 计算机视觉, 自动化, 全球定位系统, 模拟, 人工神经网络, 控制系统, 嵌入式软件, 机器人, 深度学习, 安全保障, 交通流优化, 硬件架构, 软件架构, 图像分析, 图论, Machine Learning 方法, 估算
状态：免费试用University of Colorado Boulder
您将获得的技能: Linux, 操作系统, 脚本, 文件输入/输出, 文件系统, 计算机系统, 可扩展性, 负载平衡, 编程原则, 命令行界面, 性能调整, C 和 C++, 通信系统, 分布式计算, 硬件架构, 大数据, Bash（脚本语言）, 计算机编程工具, 线性代数
状态：免费试用您将获得的技能: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Bash (Scripting Language), Test Automation, Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Technical Communication, Web Services, Email Automation, Automation, Python Programming, Interviewing Skills, Applicant Tracking Systems, Configuration Management, Program Development, Programming Principles
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
- IBM RAG and Agentic AI: IBM
- Advanced Machine Learning on Google Cloud: Google Cloud
- Google Advanced Data Analytics: Google
- 机器学习顶点课程: IBM
- SAS Machine Learning Engineer: SAS
- Deep Learning Engineering: Coursera
- 医疗保健领域的深度学习: University of Illinois Urbana-Champaign
- 自动驾驶汽车: University of Toronto
