Train Watson with embedded AI services, including Watson Visual Recognition. Customize your models and deploy them as APIs or CoreML.
Use familiar open source data science and machine learning tools, with Jupyter Notebooks with Anaconda and RStudio. Access the most popular libraries or bring your own.
No-code visual modeling with Neural Network Modeler for designing neural architectures using the most popular deep learning frameworks. Train models easily with IBM® SPSS Statistics.
Interactively discover, cleanse, and transform your data using Data Refinery. Understand the quality and distribution of your data with built-in charts and statistics.
Explore data and share compelling visualized results through interactive dashboards created within a powerful drag a drop authoring environment.
Easily scale your compute resources and customize your package dependencies to create a custom and reproducible environment that can be shared across your organization.
Quickly get started and train your models on IBM Public Cloud
For individual data scientists and small teams
For departmental data science teams
Prepare data and build models on your desktop with visual drag and drop tools
Train models behind your own firewall or on IBM Private Cloud