强化学习课程
Reinforcement Learning 课程可以帮助您学习马尔可夫决策过程、奖励系统和策略优化等关键概念。您可以掌握算法设计、模拟环境和评估代理性能方面的技能。许多课程介绍了 TensorFlow 和 OpenAI Gym 等工具，这些工具支持在实际场景中实施和测试强化学习算法。
热门强化学习课程和认证
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新状态：预览您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
状态：新状态：免费试用您将获得的技能: Kubernetes, Network Troubleshooting, Authentications, Debugging, Event Monitoring, System Monitoring, Application Deployment, API Design, Application Programming Interface (API), Command-Line Interface
您将获得的技能: Responsible AI, Business Ethics, Google Cloud Platform, AI Enablement, Artificial Intelligence, AI Product Strategy, Ethical Standards And Conduct, Program Development, Applied Machine Learning, Auditing, Machine Learning
状态：新您将获得的技能: Responsible AI, Generative AI, AI Security, Large Language Modeling, Google Cloud Platform, Model Deployment, Data Modeling, Artificial Intelligence, Business Solutions, Unstructured Data, Machine Learning, Data Quality
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
状态：新您将获得的技能: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, Model Deployment, Data Ethics, No-Code Development, Model Evaluation, Responsible AI, Application Development, Transfer Learning, Application Programming Interface (API)
状态：免费试用您将获得的技能: Microsoft Teams, Azure Active Directory, Collaborative Software, Identity and Access Management, Windows PowerShell, Remote Access Systems, System Configuration, Security Management, Configuration Management, Live Streaming
状态：新状态：免费试用您将获得的技能: Endpoint Security, Mobile Security, Cloud Security, Application Security, Cloud Deployment, Malware Protection, Information Systems Security, Virtual Machines, Virtualization, Firewall, Intrusion Detection and Prevention, Security Awareness, Containerization, User Provisioning
状态：免费试用Google Cloud
您将获得的技能: Responsible AI, AI Security, AI Product Strategy, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Artificial Intelligence, Data Security, Applied Machine Learning, Data Integrity, Machine Learning, Model Evaluation, Data Visualization Software, Encryption, Identity and Access Management, Data Quality
状态：新状态：免费试用您将获得的技能: Animation and Game Design, Unity Engine, User Interface (UI), Game Design, Video Game Development, User Interface (UI) Design, Visualization (Computer Graphics), C# (Programming Language), Scripting
状态：新状态：免费试用Edureka
您将获得的技能: API Gateway, Authentications, Application Programming Interface (API), OAuth, API Design, Cloud API, Authorization (Computing), Secure Coding, API Testing, Restful API, Threat Modeling, Application Security, Data Security, Distributed Denial-Of-Service (DDoS) Attacks, Identity and Access Management, Encryption, Prometheus (Software), Flask (Web Framework), Grafana, Python Programming
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- Attention Mechanism - Español: Google Cloud
- Python: Master House Price Prediction with Linear Regression: EDUCBA
- Certified Kubernetes Application Developer (CKAD): Unit 6: Pearson
- Responsible AI: Applying AI Principles with GC - 繁體中文: Google Cloud
- IA générative : découvrir les concepts fondamentaux: Google Cloud
- Machine Learning Projects in R with Caret: EDUCBA
- From Recipe to Chef - Become an LLM Engineer: Packt
- MS Teams – Guest Access and Collaboration Management: Packt
- (SSCP) Systems Security Certified Practitioner: Unit 6: Pearson
- Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
