筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
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“数学建模” 的结果
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Interoperability, Testability, Data Integrity, Data Governance, Maintainability, Machine Learning
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Prompt Engineering, Google Workspace, Technical Writing, Document Management, Grammar
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Machine Learning
您将获得的技能: Data Ethics, Responsible AI, Data Analysis, Data Visualization, Data Science, Analysis, Applied Machine Learning, Artificial Intelligence, Software Visualization, Machine Learning
您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Cleansing, Data Pipelines, Data Transformation, MLOps (Machine Learning Operations), Deep Learning, Application Deployment, Scalability, Machine Learning, Application Programming Interface (API)
Google Cloud
您将获得的技能: Google Gemini, Google Workspace, Document Management, Generative AI, Prompt Engineering, File Management
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Responsible AI, Verification And Validation, Machine Learning
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Integrated Development Environments, Development Environment
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
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Tensorflow, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Continuous Monitoring, Data Validation
总之，以下是 10 最受欢迎的 数学建模 课程
- Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
- Gemini in Google Docs - 日本語版: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
- Responsible AI: Interpretability & Transparency - Deutsch: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Gemini in Google Drive - 简体中文: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
