DSVM

About

A virtual machine with pre-installed popular libraries for data analysis and machine learning. A DSVM can be used as an environment for training models and experimenting with data. It includes tools such as CatBoost, LightGBM, XGBoost, TensorFlow, PyTorch, NumPy, scikit-learn, and SciPy, as well as libraries libjpeg-turbo and Pillow-SIMD for working with images. The image is based on the Ubuntu OS.

Use cases
  • 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.
Useful links
Vendor
Yandex.Cloud
Category
Frameworks
Versions
1.0