Hyperparameter 调整课程
超参数调优课程可以帮助您学习优化模型性能、理解过拟合和欠拟合以及应用交叉验证方法的技术。您可以掌握参数选择、Grid Search 和随机搜索策略方面的技能，从而提升您的机器学习项目。许多课程都会介绍 Scikit-learn、TensorFlow 和 Keras 等工具，展示如何在人工智能和 AI 应用中有效实施这些调整技术。
热门参数调整课程与认证
您将获得的技能: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming
状态：免费Google Cloud
您将获得的技能: Performance Tuning, Google Cloud Platform, Performance Testing, Application Performance Management, Cloud Applications, Cloud Computing, Server Side
状态：新状态：免费试用您将获得的技能: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
状态：免费试用您将获得的技能: Microsoft Azure, Network Architecture, Virtual Networking, Network Performance Management, Network Monitoring, Performance Tuning, Cloud Deployment, System Monitoring, Virtual Machines, Infrastructure as Code (IaC), Windows PowerShell, Automation, Command-Line Interface
状态：新状态：预览您将获得的技能: Organizational Change, Agentic Workflows, AI Enablement, Generative AI Agents, Workflow Management, Predictive Analytics, Cash Management, Responsible AI, Performance Tuning, Fraud detection, Accounting and Finance Software, Financial Reporting
状态：新您将获得的技能: Apache Kafka, Spring Boot, Data Pipelines, Java, Restful API, Performance Tuning, Data Validation
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis
状态：新状态：免费试用您将获得的技能: Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation
状态：新您将获得的技能: Animations, 3D Assets, 3D Modeling, Animation and Game Design, Computer Graphics, Virtual Environment, Computer Graphic Techniques, Performance Tuning
状态：新状态：预览您将获得的技能: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis
状态：预览您将获得的技能: LLM 申请, 模型部署, 应用程序部署, 人工智能, ChatGPT, Prompt Engineering, OpenAI 应用程序接口, 云应用, 生成式人工智能, 网络开发工具, AI 安全, 实时数据, 网络应用, 无服务器计算
状态：免费Princeton University
您将获得的技能: 硬件架构, 计算机工程, 可扩展性, 计算机系统, 分布式计算, 计算机结构, 操作系统, 微架构, 性能调整
总之，以下是 10 最受欢迎的 hyperparameter tuning 课程
- Optimize TensorFlow Models For Deployment with TensorRT: Coursera
- Optimizing Applications Using Cloud Profiler: Google Cloud
- Building, Evaluating, and Operationalizing ML Models: Packt
- Automation and Optimization in Azure: EDUCBA
- Agentic AI Content for Practitioners (Teams: Finance): Coursera
- Mastering Kafka Consumer Systems for Telecom Data: EDUCBA
- Automate, Validate, and Promote ML Models Safely: Coursera
- Introduction to Data Engineering on AWS: Packt
- Geometry Nodes For Blender 4.4: Packt
- Analyze & Deploy Scalable LLM Architectures: Coursera
