Machine Learning Platform for AI is intended for enterprises and developers. It is a lightweight and cost-efficient machine learning platform that uses cloud-native technologies. It provides you with an end-to-end modeling service that covers Data Science Workshop (DSW) for interactive modeling, Machine Learning Studio for visualized modeling without the need to write code, Deep Learning Containers (DLC) for distributed model training, and Elastic Algorithm Service (EAS) for online prediction. It can be used to accelerate model training based on tens of billions of features and hundreds of billions of samples in more than 100 scenarios. This greatly improves the efficiency of machine learning projects.

Document Updates
Quick Start
FAQ
Best Practices

Learning Path

Start your Machine Learning Platform for AI journey here to discover infinite possibilities with Alibaba Cloud

  • About PAI
    Introduction
    • What is Machine Learning Platform for AI?
    • Architecture
    • Benefits
    Purchase Guide
    • Billing of Machine Learning Studio
    • Billing of DSW
    • Billing of DLC
    • Billing of EAS
    • Activate now
  • Get Started
    Quick Start
    • Create experiments based on templates
  • Use PAI
    PAI-Studio
    • General components of Machine Learning Platform for AI
    • Components in deep learning frameworks
    • Auto ML
    PAI-DSW
    • Create instances
    • Manage instances
    • Work with the development environments of DSW
    • Read data from and write data to OSS
    • Read data from and write data to MaxCompute tables
    • Export notebooks
    PAI-DLC
    • Manage jobs in DLC Dashboard
    • Manage jobs in Arena
    PAI-EAS
    • Deploy models
    • Run commands to use the EASCMD client
    • Methods for calling services
    • Automatically deploy models at scheduled time
    PAI-SDK
    • Offline training
    • Offline prediction
    • PAI-TensorFlow
    • Distributed deep learning framework Whale
    AutoLearning
    • Create an instance
    • Image classification
    • Object detection
    • OCR
    • Matching recall
    ModelHub
    • Intelligent video processing models
    • Intelligent image processing models
    • ASR models
    • NLP models
  • Practices
    Best Practices
    • Intelligent recommendation
    • Use EasyVision to detect targets
    • Use PAI-TensorFlow to implement the distributed DeepFM algorithm
    • Deployment of a PS-LR model

FAQ

View more frequently asked questions and related solutions

  • FAQ about algorithm components
  • FAQ about DSW
  • FAQ about online prediction
  • FAQ about TensorFlow