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
状态：免费DeepLearning.AI
您将获得的技能: LLM Application, Test Data, Prompt Engineering, Model Evaluation, Transfer Learning, Generative AI Agents, Performance Testing
状态：新状态：免费试用您将获得的技能: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
状态：新状态：预览您将获得的技能: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms
您将获得的技能: SQL, Query Languages, Database Design, Performance Tuning, Database Management, Database Development, Databases, PostgreSQL, Data Access
状态：免费试用DeepLearning.AI
您将获得的技能: 模型评估, 机器学习, 分类算法, 随机森林算法, 逻辑回归, 人工智能, 深度学习, 监督学习, 决策树学习, 迁移学习, 应用机器学习, 张力流, 数据伦理, 人工神经网络, 性能调整
状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering
您将获得的技能: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
状态：免费Coursera
您将获得的技能: 数据操作, 模型评估, 大型语言模型, 机器学习, 非结构化数据, JSON, 数据预处理, OpenAI 应用程序接口, 性能指标, 生成式人工智能, Python 程序设计, OpenAI, 实时数据
状态：免费试用您将获得的技能: PySpark, Applied Machine Learning, Machine Learning Methods, Machine Learning, Logistic Regression
您将获得的技能: PostgreSQL, Performance Tuning, Database Management, Google Cloud Platform, Operational Databases, SQL, Database Application, Data Management, Data Analysis
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: AI 产品战略, 机器学习, 模型评估, 负责任的人工智能, 模型部署, 持续监测, MLOps（机器学习 Operator）, 应用机器学习, 性能指标, 风险缓解, 性能调整, 业务运营, 数据维护, 数据伦理, AI 赋能, 利益攸关方沟通, 道德标准与行为, 运行分析, 系统集成, 企业战略
状态：新状态：免费试用您将获得的技能: vSphere DRS & HA, Virtual Machines, Storage vMotion, vCenter Server Management, Performance Tuning, Virtualization, Capacity Management, System Monitoring, Data Migration
总之，以下是 10 最受欢迎的 hyperparameter tuning 课程
- Improving Accuracy of LLM Applications: DeepLearning.AI
- Machine Learning with Python: Build & Optimize: EDUCBA
- Credit Default Prediction with Python: Apply & Analyze: EDUCBA
- Optimization of SQL query Tuning and Performance: Coursera
- 高级学习算法: DeepLearning.AI
- Exploratory Data Analysis & Core ML Algorithms: Packt
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
- 用于商业分析的 GenAI：微调 LLMs: Coursera
- Machine Learning with PySpark: Edureka
- Cloud SQL for PostgreSQL Database Observability and Tuning: Google Cloud
