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“mlops (machine learning operations)” 的结果
您将获得的技能: 数据处理, 数据科学, Apache Spark, 数据存储技术, 机器学习算法, PySpark, 统计机器学习, 机器学习, 大数据, 应用机器学习, 数据管道, 统计分析
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 统计建模, 分类与回归树 (CART), 数据转换, 监督学习, Python 程序设计, NumPy, 人工智能, 应用机器学习, 机器学习, 回归分析, Scikit-learn (机器学习库), 功能工程, 预测建模, Jupyter
- 状态:免费试用
Duke University
您将获得的技能: Flask(网络框架), 应用编程接口 (API), 微软 Azure, Google 云端平台, 计算机视觉, MLOps(机器学习 Operator), 自动化, 持续交付, 人工智能和机器学习(AI/ML), 云应用, 云 API, 应用机器学习, 自然语言处理
- 状态:免费
Amazon Web Services
您将获得的技能: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Feasibility Studies, System Requirements, Solution Design
您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Verification And Validation, Performance Testing, Machine Learning
- 状态:免费试用
Microsoft
您将获得的技能: 微软 Azure, 探索性数据分析, 数据科学, MLOps(机器学习 Operator), 数据分析, 分类与回归树 (CART), Pandas(Python 软件包), 人工智能和机器学习(AI/ML), 回归分析, 深度学习, 人工神经网络, 机器学习, 预测建模, 数据可视化, 张力流, Scikit-learn (机器学习库), PyTorch(机器学习库), 无监督学习, 图像分析, Jupyter
您将获得的技能: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality
- 状态:免费试用
您将获得的技能: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Responsible AI, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Fraud detection, Business Leadership, Business Transformation, Data-Driven Decision-Making, Business Priorities, Data Science
您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Responsible AI, Security Testing, Predictive Modeling, Verification And Validation, Data Validation, Machine Learning
- 状态:预览
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, Continuous Deployment, Automation, Continuous Integration, Continuous Monitoring, Scalability, Data Management
- 状态:预览
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Automation, Cloud Solutions, Continuous Deployment, Machine Learning, Containerization, Data Processing
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring
与 mlops (machine learning operations) 相关的搜索
总之,以下是 10 最受欢迎的 mlops (machine learning operations) 课程
- 使用 Apache Spark 在大数据上进行可扩展机器学习: IBM
- 监督式机器学习:回归与分类: DeepLearning.AI
- 云机器学习工程和 MLOps: Duke University
- Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- 在 Microsoft Azure 中创建机器学习模型: Microsoft
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud