DSVM

Yandex Data Science Virtual Machine (DSVM) is a virtual machine with pre-installed popular libraries for data analytics and machine learning. A DSVM can be used as an environment for training models and experimenting with data.

Pre-installed software:

• Package manager conda with Python 2.7 and Python 3.6.
• Tools for interactive and reproducible computations Jupyter Notebook and JupyterLab.
• Machine Learning libraries: CatBoost, LightGBM, XGBoost, TensorFlow, PyTorch.
• Container management system Docker.
• Console clients of version control systems: SVN, Git, and Mercurial.
• The NumPy, scikit-learn, and SciPy libraries optimized with the Intel Math Kernel Library and Data Analytics Acceleration Library.
• Optimized libraries for working with images: libjpeg-turbo and Pull-SIMD.

The image is based on the Ubuntu OS.

1. Create a VM from a public DSVM image.
2. Connect to a VM over SSH.

• Analysis and prediction of user behavior.
• Analysis of system operation and prediction of failures.
• Customer segmentation.
• Classification of images, documents, and any types of data.
• Recommendation systems.
• Speech synthesis and recognition services.
• Dialog engines.

Yandex Cloud technical support responds to requests 24 hours a day, 7 days a week. The types of requests available and their response time depend on your pricing plan. You can activate paid support in the management console. Learn more about requesting technical support.