个结果，搜索词为 "experimentation"
状态：免费试用Arizona State University
您将获得的技能: 统计假设检验, Model Evaluation, 数据转换, 描述性统计, 统计建模, 抽样（统计）, 概率与统计, 回归分析, 概率分布, 设计策略, 数学建模, Variance 分析, 数据分析, 统计分析, 实验, 统计方法, 数据分析软件, 研究设计, 分析, 样本量的确定
状态：预览McMaster University
您将获得的技能: 预测建模, R 语言程序设计（中文版）, 案例研究, R（软件）, 模拟和模拟软件, 统计分析, 工艺优化, 数据分析, 数据可视化, 统计软件, 实验, 帕累托图表, 改进和优化流程
状态：新您将获得的技能: User Experience, User Experience Design, UI/UX Research, Usability Testing, User Research, UI/UX Strategy, A/B Testing, Design Research, Prioritization, Data Literacy, Usability, Product Improvement, Process Design, Business Priorities, Kanban Principles, Product Testing, Business Research, Creative Design, Statistical Hypothesis Testing, Business Strategy
状态：免费试用您将获得的技能: Responsible AI, Data Ethics, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, PyTorch (Machine Learning Library), AI Security, MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Model Deployment, Machine Learning, A/B Testing, Version Control, Performance Tuning
状态：免费试用University of Colorado Boulder
您将获得的技能: 统计假设检验, A/B 测试, 数据伦理, 定量研究, 统计建模, 回归分析, 概率与统计, 数据科学, 统计推理, 数据分析, 实验, 统计分析, 微积分, 研究设计, 样本量的确定, 线性代数
状态：免费试用University of Virginia
您将获得的技能: 创新, 原型设计, Agile 方法论, 精益方法, 可用性测试, 产品开发, Devops, 敏捷产品开发, 产品测试, 用户研究, 持续交付
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: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
状态：新状态：免费试用Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
状态：新状态：免费试用您将获得的技能: Milestones (Project Management), Acceptance Testing, CI/CD, Scope Management, MLOps (Machine Learning Operations), Feature Engineering, Governance Risk Management and Compliance, Capacity Management, Responsible AI, Smart Goals, Project Risk Management, Compliance Management, Stakeholder Communications, Data Governance, Risk Analysis, Model Evaluation, Applied Machine Learning, Project Planning, Risk Management, Mitigation
状态：新状态：免费试用Coursera
您将获得的技能: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation
状态：新状态：免费试用Arizona State University
您将获得的技能: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Data Storage Technologies, Analytical Skills, Exploratory Data Analysis, Data Storage, Database Software, Estimation, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Statistical Hypothesis Testing, Predictive Modeling, Simulations, Simulation and Simulation Software, Regression Testing
状态：新状态：免费试用您将获得的技能: Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 experimentation 课程
- 实验设计: Arizona State University
- 实验改进: McMaster University
- Design for Impact: A Guide to Product Experimentation: Packt
- NVIDIA: LLM Experimentation, Deployment, and Ethical AI: Whizlabs
- 方差分析和实验设计: University of Colorado Boulder
- 假设驱动的开发: University of Virginia
- AI Agents and MLOps for Production-Ready AI: Packt
- ML Production Systems: Coursera
- Managing AI Projects That Ship and Scale: Coursera
- Systematic ML Optimization: Coursera
