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
“可扩展标记语言（xml）” 的结果
状态：新Google Cloud
您将获得的技能: Google Gemini, Generative AI, Large Language Modeling, Prompt Engineering, LLM Application, Responsible AI, Google Cloud Platform, Data Pipelines, Big Data, Natural Language Processing, Machine Learning Algorithms
状态：预览University of California San Diego
您将获得的技能: Data Modeling, Data Infrastructure, Real Time Data, Data Management, Database Systems, Data Warehousing, Data Architecture, Big Data, Data Processing, Database Management Systems, Unstructured Data, Data Storage Technologies, Scalability
Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Analytics, Applied Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
状态：预览National Taiwan University
您将获得的技能: Feature Engineering, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Machine Learning, Applied Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Regression Analysis
状态：预览National Taiwan University
您将获得的技能: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy
状态：预览Deep Teaching Solutions
您将获得的技能:
状态：预览Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining
状态：新Google Cloud
您将获得的技能: Generative AI, Google Gemini, Prompt Engineering, LLM Application, Google Cloud Platform, Big Data, Query Languages, Natural Language Processing, Scalability
您将获得的技能: Dataflow, Data Pipelines, Debugging, Data Processing, System Monitoring, CI/CD, Serverless Computing, Unit Testing, Performance Tuning, Data Transformation, Disaster Recovery, Integration Testing
- 状态：预览
Google Cloud
您将获得的技能: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Machine Learning Methods, Deep Learning, Natural Language Processing
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks
状态：预览您将获得的技能: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Data Pipelines, Data Processing, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, Data Transformation, Automation
总之，以下是 10 最受欢迎的 可扩展标记语言（xml） 课程
- 使用 BigQuery 创建嵌入、向量搜索和 RAG: Google Cloud
- 빅 데이터 모델링 및 관리 시스템: University of California San Diego
- 透過 BigQuery 機器學習執行推論作業: Google Cloud
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- 頑想學概率：機率一 (Probability (1)): National Taiwan University
- เรียนแบบนี้แต่แรก ก็เก่งไปนานแล้ว : Deep Teaching Solutions
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
- Serverless Data Processing with Dataflow: Operations - 日本語版 : Google Cloud
- Encoder-Decoder Architecture - 简体中文: Google Cloud
