个结果，搜索词为 "mlops（机器学习 operator）"
状态：预览National Taiwan University
您将获得的技能: Feature Engineering, Deep Learning, Statistical Machine Learning, Artificial Neural Networks, Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Unsupervised Learning, Dimensionality Reduction, Regression Analysis
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps, Applied Machine Learning
Google Cloud
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Predictive Modeling, Data Validation, Responsible AI, Google Cloud Platform, System Monitoring, Machine Learning Methods
您将获得的技能: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Performance Testing, Machine Learning
状态：预览DeepLearning.AI
您将获得的技能: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms
状态：预览Edge Impulse
您将获得的技能: 计算机编程, 数据处理, 机器学习, 数据分析, 功能工程, 人工智能和机器学习（AI/ML）, 应用机器学习, 嵌入式系统, 人工神经网络, 深度学习, 数据伦理
状态：预览DeepLearning.AI
您将获得的技能: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing
状态：免费试用Google Cloud
您将获得的技能: 数据管道, 分布式计算, 张力流, 混合云计算, 可扩展性, 系统架构, 机器学习, 系统设计, MLOps（机器学习 Operator）, Google 云端平台, 性能调整, 应用机器学习
您将获得的技能: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality
您将获得的技能: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment
状态：免费试用Microsoft
您将获得的技能: 数据管道, 持续监测, 微软 Azure, 可扩展性, 机器学习, 负责任的人工智能, MLOps（机器学习 Operator）, 数据安全, 信息隐私, 性能调整, 云计算, 数据库, 数据伦理
状态：免费试用Edureka
您将获得的技能: 数据处理, 人工智能, 预测建模, 监督学习, 数据科学, 张力流, 计算机视觉, 机器学习, 文本挖掘, 深度学习, 自然语言处理, 强化学习
总之，以下是 10 最受欢迎的 mlops（机器学习 operator） 课程
- 機器學習技法 (Machine Learning Techniques): National Taiwan University
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Português Brasileiro: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
- 嵌入式机器学习简介: Edge Impulse
- TensorFlow を使った畳み込みニューラルネットワーク: DeepLearning.AI
- 生产型机器学习系统: Google Cloud
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
- Machine Learning Pipelines with Azure ML Studio: Coursera
