Machine Learning
此角色有 US$169,700 工资中位数¹.
描述:A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.
此角色有 US$169,700 工资中位数¹.
提供方
此角色有 US$145,280 工资中位数¹.
描述:A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
此角色有 US$145,280 工资中位数¹.
提供方
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找到最适合您目标的 Machine Learning 课程
状态：免费试用Duke University
您将获得的技能: 微软 Azure, 云工程, 机器学习算法, 数据分析, 亚马逊 S3, 无服务器计算, Python 程序设计, MLOps（机器学习 Operator）, 数据管道, Machine Learning 方法, 亚马逊网络服务, AWS SageMaker, 探索性数据分析, 云计算解决方案, 机器学习, 人工智能和机器学习（AI/ML）, 功能工程, 应用机器学习
状态：免费试用Duke University
您将获得的技能: 命令行界面, Docker (软件), MLOps（机器学习 Operator）, 人工智能和机器学习（AI/ML）, 拉斯特（编程语言）, 无服务器计算, GitHub, CI/CD, 机器学习, 网络框架, 集装箱化, PyTorch（机器学习库）, 大数据, 云计算解决方案, Devops, Microsoft Copilot, 张力流, 负责任的人工智能
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, CI/CD, Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Data Pipelines, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning
状态：预览Columbia University
您将获得的技能: 统计建模, 统计假设检验, 统计推理, 回归分析, 机器学习, 统计方法, 计划评估, 研究设计, 数据收集, 统计分析, 概率与统计, 实验
状态：免费试用您将获得的技能: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines
状态：预览您将获得的技能: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Machine Learning, Data Security, Data Quality, Cloud Engineering, Scalability, Data Governance, Data Storage, Test Planning, SQL
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您将获得的技能: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, Data Modeling, Data Visualization, Data Quality, Scalability, Data Migration, Cloud Security, Machine Learning, SQL, Cloud Storage
状态：预览Google Cloud
您将获得的技能: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Hybrid Cloud Computing, Mobile Development Tools
- 状态：免费试用
您将获得的技能: MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Data Infrastructure, Google Cloud Platform, Machine Learning, Cloud Security, Data Analysis, Data Governance, Data Strategy, Data Storage Technologies, Data Migration, Scalability
状态：免费试用Stanford University
您将获得的技能: 统计建模, 机器学习算法, 网络分析, 机器学习, 概率分布, 统计方法, 应用机器学习, 贝叶斯网络, 概率与统计, Algorithm, 马尔可夫模型
状态：免费试用您将获得的技能: 计算机视觉, 人工智能, Python 程序设计, Machine Learning 方法, PyTorch（机器学习库）, 机器学习, 深度学习, Keras（神经网络库）
