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
技能必需的
字幕必需的
教师必需的
“科学方法” 的结果
您将获得的技能: MLOps (Machine Learning Operations), Data Validation, Google Cloud Platform, Tensorflow, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Performance Tuning, Scalability, Machine Learning, Data Pipelines, Verification And Validation, Data Processing
Google Cloud
您将获得的技能: Google Cloud Platform, Database Administration, Query Languages, Database Management Systems, Generative AI, Data Store, Machine Learning
您将获得的技能: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation
状态：新Google Cloud
您将获得的技能: Generative AI, Responsible AI, Google Cloud Platform, Artificial Intelligence, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Unstructured Data, Data Quality
状态：预览您将获得的技能: Google Gemini, Responsible AI, Google Workspace, Generative AI, Productivity Software, Gmail, Google Docs
Google Cloud
您将获得的技能: Google Gemini, Query Languages, Application Development, Data Access, Google Cloud Platform, Software Development Life Cycle, Software Development Tools, CI/CD, Software Testing, Generative AI, Web Applications, Debugging
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Prompt Engineering, Google Workspace, Grammar, Gmail
状态：免费试用Xi'an Jiaotong University
您将获得的技能: Database Design, System Testing, User Interface (UI) Design, .NET Framework, Relational Databases, ASP.NET, Database Management, C# (Programming Language), System Design and Implementation, Web Applications, Software Development, SQL
状态：新状态：免费试用Board Infinity
您将获得的技能: Java, Java Programming, Apache Spark, Applied Machine Learning, Deep Learning, Data Processing, Application Deployment, Natural Language Processing, Data Cleansing, Machine Learning Algorithms, Machine Learning, Feature Engineering, Data Transformation, Scalability, Artificial Neural Networks, Regression Analysis, Interoperability
状态：新Google Cloud
您将获得的技能: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, Service Improvement, Operational Efficiency
状态：新您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Large Language Modeling, Machine Learning Methods, Responsible AI, Machine Learning, Continuous Monitoring, A/B Testing
总之，以下是 10 最受欢迎的 科学方法 课程
- Production Machine Learning Systems - Português Brasileiro : Google Cloud
- Configuring Vector Search in AlloyDB: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
- IA generativa: conceitos básicos: Google Cloud
- Introduction to Gemini for Google Workspace - 简体中文: Google Cloud
- Gemini for end-to-end SDLC - 简体中文: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- Gemini in Google Docs - 简体中文: Google Cloud
- .Net平台下的软件开发技术毕业项目: Xi'an Jiaotong University
- Machine Learning with Implementation in Java: Board Infinity
