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.

• 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.