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
“mlops (machine learning operations)” 的结果
- 状态:免费试用
University of Washington
您将获得的技能: 统计建模, 机器学习算法, 计算机视觉, 分类与回归树 (CART), 无监督学习, 深度学习, 文本挖掘, 大数据, 统计机器学习, 机器学习, 人工智能, 回归分析, 数据挖掘, 应用机器学习, 预测分析, 功能工程, 监督学习, 图像分析, 贝叶斯统计, 预测建模
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 机器学习算法, 分类与回归树 (CART), 数据处理, R 语言程序设计(中文版), 随机森林算法, 数据收集, 机器学习, 应用机器学习, 预测分析, 功能工程, 监督学习, 回归分析, 预测建模
- 状态:免费试用
您将获得的技能: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric
- 状态:免费试用
University of Colorado Boulder
您将获得的技能: Matplotlib, 分类与回归树 (CART), 数据科学, 数学建模, 决策树学习, Python 程序设计, 人工智能和机器学习(AI/ML), 机器学习算法, 降维, 深度学习, 计算机视觉, 机器学习, 随机森林算法, 预测建模, 应用机器学习, Scikit-learn (机器学习库), Keras(神经网络库), 监督学习, 无监督学习, 图像分析
- 状态:预览
您将获得的技能: MLOps (Machine Learning Operations), Data Modeling, Google Cloud Platform, Feature Engineering, Application Deployment, DevOps, Data Processing, Data Management, Data Storage
- 状态:免费试用
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Cloud Computing, Data Transformation, Continuous Monitoring
Amazon Web Services
您将获得的技能: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Software Development Tools, Anomaly Detection, Microservices, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 数据伦理, 人工智能和机器学习(AI/ML), 降维, 深度学习, 机器学习, 人工智能, 无监督学习, 应用机器学习, 强化学习, Algorithm, 监督学习, 异常检测
- 状态:免费试用
Alberta Machine Intelligence Institute
您将获得的技能: 机器学习算法, 数据处理, 分类与回归树 (CART), 监督学习, 回归分析, 业务解决方案, Python 程序设计, 性能分析, 机器学习, 应用机器学习, Scikit-learn (机器学习库), 功能工程, 性能指标, Jupyter
- 状态:免费试用
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence
- 状态:免费试用
DeepLearning.AI
您将获得的技能: 决策树学习, 负责任的人工智能, 监督学习, 分类与回归树 (CART), 人工神经网络, 随机森林算法, 深度学习, 数据伦理, 机器学习, 张力流, 性能调整
与 mlops (machine learning operations) 相关的搜索
总之,以下是 10 最受欢迎的 mlops (machine learning operations) 课程
- 机器学习: University of Washington
- Machine Learning on Google Cloud: Google Cloud
- 实用机器学习: Johns Hopkins University
- AI and Machine Learning Algorithms and Techniques: Microsoft
- 机器学习:理论与 Python 上机实践: University of Colorado Boulder
- Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
- Machine Learning in the Enterprise: Google Cloud
- DevOps and AI on AWS: AIOps: Amazon Web Services
- 无监督学习、推荐器、强化学习: DeepLearning.AI
- 机器学习算法:监督学习从头到尾: Alberta Machine Intelligence Institute