DataRobot, a leading provider of automated machine learning (AutoML) solutions, announced today the availability of DataRobot Notebooks. This new feature allows data scientists and analysts to easily access, explore, and collaborate on their projects within a notebook interface.
DataRobot Notebooks provide an intuitive, user-friendly interface for data scientists and analysts to access and explore their projects within DataRobot. The notebooks allow users to access their data and models, as well as run and compare multiple versions of models within the same notebook. This allows data scientists and analysts to quickly iterate on their models, making it easier for them to identify the best-performing models and make data-driven decisions. The new feature also allows for easy collaboration among team members, as notebooks can be shared and edited by multiple users. This allows for better teamwork and faster decision-making, as teams can work together to explore and analyze their data in real-time.
According to the CEO of DataRobot, Jeremy Achin, the release of DataRobot Notebooks is a significant step forward for the company as it \”brings together the best of both worlds, the ease of use and collaboration of notebook-based workflows with the power of DataRobot\’s automated machine learning.\” He also added that \”DataRobot Notebooks make it easier for data scientists and analysts to access, explore and collaborate on their projects within DataRobot, which ultimately means better and faster decisions for the businesses.\”
DataRobot Notebooks also provides a variety of built-in functions that allow users to perform common data science tasks such as data cleaning and preparation, feature engineering, and model evaluation. This means that data scientists and analysts can perform all of their tasks in a single, integrated environment, without having to switch between different tools.
DataRobot\’s new feature, DataRobot Notebooks, brings together the best of both worlds by providing users with the easy-to-use and collaboration of notebook-based workflows and the power of DataRobot\’s automated machine learning. This allows data scientists and analysts to access, explore and collaborate on their projects within DataRobot, resulting in better and faster decisions for the businesses. The company provides an opportunity to streamline workflow, making it more efficient and effective for data teams to work together and make data-driven decisions.
