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
探索统计推断课程目录
您将获得的技能: Responsible AI, Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Documentation, Software Documentation
状态：新Google Cloud
您将获得的技能: Looker (Software), SQL, Big Data, Data Analysis, Analytics, Data Manipulation, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Pipelines, Google Sheets, Statistical Programming, Data Cleansing, Data Visualization Software, Data Import/Export, Google Cloud Platform, Cloud Storage
状态：预览Coursera Instructor Network
您将获得的技能: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Generative AI, Employee Retention, Analysis, Operational Efficiency
状态：新您将获得的技能: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, AI Product Strategy, Data Modeling, Artificial Intelligence, Unstructured Data, Machine Learning, Data Quality, Data Security
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Data Pipelines, Machine Learning, Containerization, Continuous Monitoring
Google Cloud
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, Google Cloud Platform, Machine Learning, Machine Learning Algorithms, SQL
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing
状态：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Cleansing, Cloud Computing, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
Google Cloud
您将获得的技能: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Keras (Neural Network Library), Data Transformation, Applied Machine Learning, Machine Learning, Statistical Methods
Google Cloud
您将获得的技能: Data Security, Responsible AI, Security Strategy, Cloud Security, Personally Identifiable Information, Security Management, Risking, Infrastructure Security, Threat Management, Data Ethics, Cybersecurity, Threat Modeling, AI Product Strategy, Artificial Intelligence, Safety and Security, Generative AI, Machine Learning
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
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
总之，以下是 10 最受欢迎的 statistical inference 课程
- Responsible AI for Developers: Interpretability & Transparency - Español: Google Cloud
- BigQuery pour les analystes de données: Google Cloud
- GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
- IA générative : découvrir les concepts fondamentaux: Google Cloud
- Machine Learning in the Enterprise - 한국어: Google Cloud
- 使用 BigQuery 机器学习推理功能: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- Introducción a la seguridad en el mundo de la IA: Google Cloud
