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
Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
- 状态:免费试用
Alberta Machine Intelligence Institute
您将获得的技能: 机器学习算法, 数据清理, 数据处理, 分类与回归树 (CART), MLOps(机器学习 Operator), 道德标准与行为, 负责任的人工智能, 监督学习, 产品生命周期管理, 测试数据, 数据质量, 数据伦理, 项目管理, 功能工程, 机器学习, 应用机器学习, Machine Learning 方法, 业务运营, 数据验证, Jupyter
- 状态:免费试用
您将获得的技能: Big Data, Apache Hadoop, Serverless Computing, Applied Machine Learning, Apache Spark, Looker (Software), Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, SQL, Data Transformation, Artificial Intelligence, Scalability, Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: Exploratory Data Analysis, Data Collection, Data Ethics, MLOps (Machine Learning Operations), Feature Engineering, Data Cleansing, Responsible AI, Applied Machine Learning, Data Analysis, Solution Design, Statistical Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Application Deployment, Generative AI, Continuous Monitoring
- 状态:新状态:免费试用
您将获得的技能: Data Processing
- 状态:免费试用
Duke University
您将获得的技能: 命令行界面, 无服务器计算, MLOps(机器学习 Operator), 拉斯特(编程语言), 负责任的人工智能, GitHub, 人工智能和机器学习(AI/ML), 大数据, 机器学习, Devops, CI/CD, PyTorch(机器学习库), 张力流, Docker (软件), 云计算解决方案, 集装箱化, 网络框架, Microsoft Copilot
- 状态:免费试用
Duke University
您将获得的技能: 微软 Azure, 云计算, MLOps(机器学习 Operator), 应用编程接口 (API), GitHub, 应用程序部署, 云应用, CI/CD, Docker (软件), 机器学习软件, 集装箱化
- 状态:免费
Amazon Web Services
您将获得的技能: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
- 状态:新状态:预览
O.P. Jindal Global University
您将获得的技能: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
- 状态:免费试用
Duke University
您将获得的技能: 微软 Azure, 探索性数据分析, 无服务器计算, 数据分析, MLOps(机器学习 Operator), Python 程序设计, AWS SageMaker, 机器学习算法, 云计算解决方案, 人工智能和机器学习(AI/ML), 功能工程, 亚马逊 S3, 机器学习, 应用机器学习, Machine Learning 方法, 亚马逊网络服务, 数据管道, 云工程
- 状态:免费试用
您将获得的技能: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing
- 状态:新状态:免费试用
Board Infinity
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Apache Spark, Applied Machine Learning, Decision Tree Learning, Deep Learning, Machine Learning, Fraud detection, Spring Boot, Natural Language Processing, Regression Analysis, Reinforcement Learning, Debugging
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
- Applied Machine Learning: Johns Hopkins University
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Building a Machine Learning Solution: Coursera
- Advanced Machine Learning Techniques: Coursera
- DevOps、DataOps、MLOps: Duke University
- MLOps 工具:MLflow 和拥抱脸: Duke University
- Developing Machine Learning Solutions: Amazon Web Services
- Machine Learning: O.P. Jindal Global University
- MLOps 平台:亚马逊 SageMaker 和 Azure ML: Duke University