SAS
About SAS
SAS is a comprehensive platform designed for machine learning and deep learning that caters to data scientists and business analysts alike. It features an integrated environment to manage the entire analytics lifecycle, providing unparalleled automation, collaboration, and productivity. With SAS, users get actionable insights quickly.
SAS offers flexible pricing plans tailored for various user needs, including free trials for new users. The platform provides a robust environment for model development and deployment, adding significant value at every subscription tier. Upgrading enables teams to harness the full potential of advanced analytics.
SAS boasts an intuitive user interface that enhances the browsing experience for machine learning tasks. Its streamlined layout allows users to navigate easily among features, ensuring all analytics life cycle tasks are handled efficiently, promoting user productivity and satisfaction.
How SAS works
Users begin their experience with SAS by signing up for a free trial to explore the platform. After onboarding, they can seamlessly navigate through the intuitive interface to access data management, model building, and deployment capabilities. The system offers automated modeling, enabling users to generate insights quickly, facilitating collaboration across teams.
Key Features for SAS
Automated Modeling API
The Automated Modeling API in SAS empowers users to efficiently build and deploy machine learning models. This feature automates key processes, allowing data scientists and analysts to focus on interpreting results rather than spending excessive time on setup, significantly enhancing productivity.
Deep Learning with Python
SAS Deep Learning with Python (DLPy) provides users with high-level APIs for deep learning functionalities within Jupyter notebooks. This feature allows users to utilize popular programming languages for model development while leveraging SAS's robust analytics capabilities, facilitating a seamless integration of tools.
Collaborative Environment
SAS offers a collaborative environment that enables users from different skill levels to engage with machine learning projects effectively. By supporting multiple programming languages and providing integrated insights, this feature promotes teamwork and accelerates the analytics process for organizations.
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