Introduction to Driverless AI

• Introduction to H2O Driverless AI
  • Architecture
  • Roadmap
• Key Features
  • Flexibility of Data and Deployment
  • NVIDIA GPU Acceleration
  • Automatic Data Visualization
  • Automatic Feature Engineering
  • Automatic Model Documentation
  • Time Series Forecasting
  • NLP with TensorFlow and PyTorch
  • Image Processing with TensorFlow
  • Machine Learning Interpretability (MLI)
  • Automatic Reason Codes
  • Custom Recipe Support
  • Automatic Scoring Pipelines
  • Experiment Setup Wizard
• Supported Algorithms
  • Constant Model
  • Decision Tree
  • FTRL
  • GLM
  • Isolation Forest
  • LightGBM
  • PyTorch Models
  • PyTorch Grownet Model
  • Random Forest
  • RuleFit
  • TensorFlow
  • XGBoost
  • Zero-Inflated Models
  • References
• Driverless AI Workflow