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：新您将获得的技能: Prompt Engineering, LangChain, LLM Application, Emerging Technologies, AI Orchestration, AI Workflows, AI Security, AI Enablement, OpenAI, ChatGPT, Computer Programming Tools, Software Development Tools, Responsible AI, Artificial Intelligence, General Networking, Cybersecurity, Network Administration, Software Development, Network Security
状态：预览Fred Hutchinson Cancer Center
您将获得的技能: Grant Writing, Data Sharing, Grant Applications, Data Storage, Data Management, Health Policy, Technical Writing, Health Care Procedure and Regulation
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Enterprise Modeling, Google Cloud Platform, AI Workflows, Workflow Management, Model Deployment, Data Preprocessing, Tensorflow, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning, Predictive Modeling, Data Management
状态：免费试用您将获得的技能: Full-Stack Web Development, Jest (JavaScript Testing Framework), Application Deployment, Unit Testing, JavaScript Frameworks, Data Structures, Back-End Web Development, Restful API, Application Programming Interface (API), Development Environment, Javascript, Front-End Web Development
状态：新状态：免费试用您将获得的技能: Ansible, IT Automation, Automation, Linux Servers, Infrastructure as Code (IaC), Windows Servers, Command-Line Interface, YAML, Configuration Management
状态：预览您将获得的技能: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Presentation, Cloud Engineering, Data Store, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Process Optimization, Data Modeling, System Monitoring
状态：新状态：预览Simplilearn
您将获得的技能: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
状态：新状态：预览您将获得的技能: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
状态：预览Coursera
您将获得的技能: Dashboard, Interactive Data Visualization, Business Intelligence, Data Visualization, Predictive Analytics, Business Intelligence Software, Data Storytelling, Business Analytics, Advanced Analytics, Analytics, Trend Analysis, Data-Driven Decision-Making, Stakeholder Communications, AI Enablement, Real Time Data
状态：新您将获得的技能: Web Development Tools
状态：免费试用您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Dashboard, Amazon Web Services, Interactive Data Visualization, Data Visualization Software, Amazon Redshift, Big Data, Cloud Security, Security Controls, Encryption, Applied Machine Learning, Amazon Elastic Compute Cloud, Amazon S3, Key Management
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- AI-Enabled Programming, Networking, and Cybersecurity: Pearson
- Data Management and Sharing for NIH Proposals: Fred Hutchinson Cancer Center
- Machine Learning in the Enterprise - Español: Google Cloud
- Modern JavaScript Tooling, Modules, and Backend Integration: Packt
- Ansible From Basics to Guru: Unit 1: Pearson
- Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
- Linear Algebra for ML and Analytics Training: Simplilearn
- Introduction to AI and Machine Learning on GC - Italiano: Google Cloud
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- ThoughtSpot-Based BI Analytics: Coursera
