Learn about the technical information and best practices about Machine Learning Platform for AI.
Machine Learning Platform for AI of Alibaba Cloud is a machine learning or deep learning engineering platform intended for enterprises and developers. It provides easy-to-use, cost-effective, high-performance, and easy-to-scale plug-ins that can be applied to various industry scenarios. With over 140 built-in optimization algorithms, Machine Learning Platform for AI provides whole-process AI engineering capabilities including data labeling (PAI-iTAG), model building (PAI-Designer and PAI-DSW), model training (PAI-DLC), compilation optimization, and inference deployment (PAI-EAS).
Diverse purchase methods to meet the requirements of AI and machine learning at different stages.
PAI-DSW is an interactive programming development tool of Machine Learning Platform for AI and can be used by developers of different levels.
AI programming code development tool
- Jupyter Notebook for interactive programming development
- Provides deeply optimized TensorFlow and supports open source framework
- Supports hybrid scheduling of CPUs or GPUs
PAI-Designer is a codeless development tool that provides classic machine learning algorithm components, covering scenarios like regression, classification, clustering, and text analysis.
Codeless development tool
- Over 140 algorithm components
- Drag-and-drop algorithm without the need to write code
- Adjusts parameters more conveniently
PAI-EAS is a model deployment tool. It allows you to quickly deploy your algorithm models and perform online debugging.
Model deployment and debugging services
- Deploys complex models with a few clicks
- Creates, updates, stops, starts, scales out, and scales in model services
- Supports online debugging of models
Documentation and Learning Path
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