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：免费试用DeepLearning.AI
您将获得的技能: 模型评估, 深度学习, Machine Learning 方法, 张力流, 数据预处理, 验证和确认, 性能调整, 人工神经网络
状态：新状态：免费试用Coursera
您将获得的技能: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
状态：免费试用DeepLearning.AI
您将获得的技能: PyTorch（机器学习库）, 计算机视觉, 拥抱的脸, 张力流, 监督学习, 数据预处理, 深度学习, 嵌入, 自然语言处理, Keras（神经网络库）, 卷积神经网络, 迁移学习, 人工智能和机器学习（AI/ML）, 机器学习, 应用机器学习, 性能调整, 递归神经网络 (RNN), 调试, 人工神经网络, 图像分析
状态：新状态：预览Coursera
您将获得的技能: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning
状态：免费试用多位教师
您将获得的技能: 模型评估, 人工智能, 决策树学习, 深度学习, 无监督学习, Scikit-learn （机器学习库）, 张力流, 数据预处理, 监督学习, Jupyter, 强化学习, 随机森林算法, 迁移学习, 预测建模, 数据伦理, 应用机器学习, 分类算法, NumPy, 功能工程, 机器学习
状态：新状态：预览您将获得的技能: Performance Testing, Vector Databases, Performance Tuning, Query Languages, SQL, Application Performance Management, Benchmarking, System Monitoring, Secure Coding
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: Performance Tuning, Splunk, Role-Based Access Control (RBAC), Scripting, Servers, Security Controls, Data Pipelines, Application Performance Management, System Monitoring, Data Infrastructure, Windows Servers, Network Troubleshooting, Distributed Computing, Systems Administration, System Configuration, Data Management, Security Information and Event Management (SIEM), Configuration Management, Debugging, Performance Improvement
状态：新状态：免费试用您将获得的技能: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Operational Databases, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
状态：新状态：预览您将获得的技能: Feature Engineering, Fraud detection, Jupyter, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Risk Modeling, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Test Planning, Test Engineering, Applied Machine Learning, Research Design, Technical Communication
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：免费试用您将获得的技能: 模型评估, 自然语言处理, 大型语言模型, 强化学习, 生成式人工智能, 机器学习
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing
是什么让您今天来到 Coursera？
总之，以下是 10 最受欢迎的 hyperparameter tuning 课程
- 改进深度神经网络：超参数调整、正则化和优化: DeepLearning.AI
- LLM Optimization & Evaluation: Coursera
- 深度学习: DeepLearning.AI
- MCP - Model Content Protocol: Coursera
- 机器学习: DeepLearning.AI
- Optimize SQL and Vector Search Parameters: Coursera
- Splunk Administration & Performance Optimization Mastery: EDUCBA
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- Engineer AI Models: Explain, Tune & Experiment: Coursera
- Mastering Kafka Consumer Systems for Telecom Data: EDUCBA
