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
Coursera
您将获得的技能: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
状态：免费Check Point Software Technologies Ltd.
您将获得的技能: 命令行界面, 安全管理, 防火墙, 虚拟化, 系统配置, 网络管理, Network Security, 网络监控
状态：免费试用LearnQuest
您将获得的技能: 单元测试, 测试脚本开发, 测试案例, JUnit, 测试自动化, 测试数据
状态：新状态：免费试用您将获得的技能: Model Context Protocol, AI Workflows, Tool Calling, Anthropic Claude, Real Time Data, Debugging, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Servers, Artificial Intelligence, Middleware, Data Access, Server Side, Generative AI
状态：新状态：免费试用您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
您将获得的技能: Data Manipulation, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Preprocessing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Analytics
总之，以下是 6 最受欢迎的 hyperparameter tuning 课程
- Linear Regression with Python: Coursera
- Check Point Jump Start：Maestro 超大规模网络安全: Check Point Software Technologies Ltd.
- JUnit 中的参数化和动态测试: LearnQuest
- Intro to Model Context Protocol (MCP): Scrimba
- Automate, Analyze, and AI Feedback: Coursera
- Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
