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在整个课程（说明和评估）中使用的语言。
了解产品必需的
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“数学建模” 的结果
您将获得的技能: Responsible AI, Information Privacy, Cloud Security, Generative AI, Personally Identifiable Information, Google Cloud Platform, Data Security, Artificial Intelligence, Encryption, Identity and Access Management, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning
状态：预览Google Cloud
您将获得的技能: Big Data, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning
您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Methods, Machine Learning
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Cloud Platform, Multimodal Prompts, LLM Application, Application Development, Cloud API, Test Case
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Data Pipelines, Business Workflow Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Continuous Monitoring
状态：新Google Cloud
您将获得的技能: Data Loss Prevention, Data Governance, Gmail, Google Workspace, Data Management, Information Management, Data Security, Regulatory Requirements, Record Keeping, Data Storage, Document Management, Email Security, Personally Identifiable Information, Data Import/Export
您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Transformation, Data Processing, Data Pipelines, Artificial Neural Networks, Machine Learning, Scalability, Application Programming Interface (API)
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
Google Cloud
您将获得的技能: Google Gemini, Google Workspace, Generative AI, Language Interpretation, Translation, and Studies
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, MLOps (Machine Learning Operations), Machine Learning, Data Quality
您将获得的技能: Dataflow, Data Pipelines, Operational Databases, Data Processing, Debugging, Performance Tuning, Data Integrity, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing
总之，以下是 10 最受欢迎的 数学建模 课程
- Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
- BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合: Google Cloud
- Machine Learning in the Enterprise - Italiano: Google Cloud
- Google Workspace のデータ ガバナンス: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
- Utiliser des notebooks dans Vertex AI: Google Cloud
- Gemini in Google Meet - 简体中文: Google Cloud
