Product
IBM Watson Machine Learning
IBM Watson Machine Learning (WML) is a comprehensive platform for building, training, and deploying machine learning models at enterprise scale. It offers end-to-end model lifecycle management with AutoAI, deep learning support, and notebooks for data scientists.
Overview
IBM Watson Machine Learning (WML) is a comprehensive platform for building, training, and deploying machine learning models at enterprise scale. It offers end-to-end model lifecycle management with AutoAI, deep learning support, and notebooks for data scientists.
Automated model development with AutoAI
Deep learning experiment support
Jupyter and Spark notebooks
Model management and deployment
Batch and real-time prediction services
Benefits
Automate model development with AutoAI
Fast training on large datasets with distributed training
Develop models in Python, R, and Scala
Fully compatible with IBM Cloud Pak for Data
Enterprise-scale model deployment
Features
Automated feature engineering and hyperparameter optimization
TensorFlow, PyTorch, scikit-learn support
Model cascading support
A/B testing and canary deployment strategies
Model performance monitoring and drift detection
Technical Specifications
TensorFlow, PyTorch, Keras, scikit-learn, XGBoost
CPU, GPU (NVIDIA CUDA), distributed training
Batch, real-time (REST API), streaming
REST API, Python SDK, CLI
IBM Cloud, Red Hat OpenShift, on-premises