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
“statistical classification” 的结果
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
Google Cloud
您将获得的技能: Google Gemini, Generative AI, Customer Relationship Management, Google Cloud Platform, Business Workflow Analysis, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Analytics, Python Programming, Natural Language Processing
状态：预览您将获得的技能: Responsible AI, Testability, Data Visualization Software, Artificial Intelligence, Data Processing, Machine Learning, Software Documentation
状态：预览Google Cloud
您将获得的技能: Big Data, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Predictive Modeling
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Virtual Machines, Machine Learning, Development Environment, Collaborative Software
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
您将获得的技能: Responsible AI, Open Source Technology, Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Continuous Monitoring, Data Validation
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Machine Learning
您将获得的技能: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Natural Language Processing
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
Pontificia Universidad Católica de Chile
您将获得的技能: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Mining, Dimensionality Reduction, Predictive Analytics, Data Analysis, R Programming, Statistical Modeling, Big Data, Visualization (Computer Graphics), Business Intelligence, Predictive Modeling, Data Modeling, Analytics, Advanced Analytics, Data-Driven Decision-Making, Data Visualization Software, Statistical Visualization, Matplotlib
总之，以下是 10 最受欢迎的 statistical classification 课程
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- Work with Gemini Models in BigQuery - 한국어: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 한국어: Google Cloud
- BigQuery ML を推論に使用する: Google Cloud
- Trabaja con Notebooks en Vertex AI: Google Cloud
- Vertex AI에서 노트북 작업하기: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Indonesian: Google Cloud
- Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
