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  1. Cloudera AI | Cloudera

    Enterprise-grade AI for hybrid environments Cloudera AI supports traditional ML, GenAI, and agentic AI; offers secure, scalable, and governed AI development; and ensures data and …

  2. Data Science Workbench: Documentation - Cloudera

    Cloudera Data Science Workbench is a secure, self-service enterprise data science platform that lets data scientists manage their own analytics pipelines, thus accelerating machine learning …

  3. Cloudera Data Science Workbench Product Download

    Download Cloudera Data Science Workbench. CDSW enables fast, easy, and secure self-service data science for the enterprise.

  4. Managing Jobs and Pipelines in Cloudera Data Science Workbench

    Cloudera Data Science Workbench allows you to automate analytics workloads with a built-in job and pipeline scheduling system that supports real-time monitoring, job history, and email alerts.

  5. Key differences between Cloudera Machine Learning (Public …

    This topic highlights some key differences between Cloudera Data Science Workbench and its cloud-native counterpart, Cloudera Machine Learning. How is Cloudera Machine Learning …

  6. Cloudera Data Science Workbench Web Application

    The Cloudera Data Science Workbench web application is typically hosted on the master host, at http://cdsw.<your_domain>.com.

  7. The Cloudera Data Science Workbench (CDSW) is an enterprise data science platform that accelerates data science and machine learning projects by providing a robust yet familiar …

  8. Installing Cloudera Data Science Workbench 1.10.4

    There are two ways to install Cloudera Data Science Workbench 1.10.4.

  9. The terminal's default working directory is /home/cdsw, which is a temporary directory where all your project files are stored for this session. Note: The terminal does not provide root or sudo …

  10. TensorBoard, Shiny, and others (CDSW_APP_PORT or CDSW

    CDSW_APP_PORT and CDSW_READONLY_PORT are environment variables that point to general purpose public ports.