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
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Storage, Data Processing, Data Quality
状态：新状态：免费试用Google Cloud
您将获得的技能: Responsible AI, Google Cloud Platform, Generative AI, Gemini, AI Product Strategy, AI Enablement, Data Governance, Cloud Infrastructure, Artificial Intelligence, Model Deployment, MLOps (Machine Learning Operations)
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling
您将获得的技能: Tensorflow, Data Preprocessing, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Cleansing, Data Transformation, Scalability, Data Pipelines, Deep Learning, Artificial Neural Networks, Model Evaluation
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Data Validation, Model Evaluation, Technical Design, Performance Tuning, Distributed Computing, Cloud Deployment, Scalability, Data Pipelines, Debugging
状态：新Google Cloud
您将获得的技能: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation
您将获得的技能: Responsible AI, Artificial Intelligence, AI Security, Model Evaluation, Data Modeling, Machine Learning
您将获得的技能: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, Applied Machine Learning, Big Data, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Natural Language Processing
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Model Evaluation, Technical Documentation, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, MLOps (Machine Learning Operations), Model Evaluation, Data Quality
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Big Data, Customer Relationship Management, SQL, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Data Analysis
总之，以下是 10 最受欢迎的 reinforcement learning 课程
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- 생성형 AI: 환경 살펴보기: Google Cloud
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- 生成式 AI：剖析基本概念: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia: Google Cloud
- Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
