The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people.
One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm.
Data Science Platforms designed to support the end-to-end data science process, enabling data professionals to develop, deploy, and manage data-driven applications. These platforms integrate a wide range of tools for data preparation, model building, testing, and deployment, streamlining workflows for data scientists, engineers, and business analysts.
The most valuable features are the machine learning tools, the support for Jupyter Notebooks, and the collaboration that allows you to share it across people.
The ease of use in connecting to our cluster machines.
One of the most interesting features of the product is their driverless component. The driverless component allows you to test several different algorithms along with navigating you through choosing the best algorithm.
It is helpful, intuitive, and easy to use. The learning curve is not too steep.