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“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: 数据伦理, MLOps(机器学习 Operator), 道德标准与行为, 监督学习, 分类与回归树 (CART), 产品生命周期管理, 项目管理, 数据质量, 测试数据, 机器学习算法, 数据处理, 功能工程, 应用机器学习, 机器学习, Jupyter, Machine Learning 方法, 负责任的人工智能, 数据清理, 业务运营, 数据验证
- 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, MLOps(机器学习 Operator), GitHub, Docker (软件), CI/CD, 云计算解决方案, 人工智能和机器学习(AI/ML), 网络框架, 大数据, Devops, 无服务器计算, 负责任的人工智能, 拉斯特(编程语言), PyTorch(机器学习库), 张力流, 集装箱化, 机器学习, Microsoft Copilot
- 状态:免费试用
Duke University
您将获得的技能: MLOps(机器学习 Operator), 应用编程接口 (API), 云计算, GitHub, Docker (软件), CI/CD, 机器学习软件, 应用程序部署, 云应用, 微软 Azure, 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: 数据管道, Python 程序设计, 云工程, MLOps(机器学习 Operator), 机器学习算法, 探索性数据分析, AWS SageMaker, 云计算解决方案, 人工智能和机器学习(AI/ML), 无服务器计算, 亚马逊 S3, 功能工程, 微软 Azure, 应用机器学习, Machine Learning 方法, 数据分析, 亚马逊网络服务, 机器学习
- 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