Cloud Pak for Data 3.5

• Build a TensorFlow model with Watson Machine Learning Accelerator: Cloud Pak for Data 3.5

  

• Build a movie recommendation system with Watson Machine Learning Accelerator: Cloud Pak for Data 3.5

  

• Automate hyperparameter optimization w/WML Accelerator (Chinese): CPD 3.5

  

• Accelerate deep learning in notebooks w/WML Accelerator (Chinese): Cloud Pak for Data 3.5

  

• Balance deep learning workloads with Elastic Distributed Training (Chinese): Cloud Pak for Data 3.5

  

• Balance deep learning workloads with Elastic Distributed Training: Cloud Pak for Data 3.5

  

• Automate hyperparameter optimization w/Watson Machine Learning Accelerator: Cloud Pak for Data 3.5

  

• Accelerate deep learning in notebooks w/Watson Machine Learning Accelerator: Cloud Pak for Data 3.5

  

• IBM Watson Machine Learning Accelerator Introduction: Cloud Pak for Data 3.5

  

• Streaming analytics in a Python sample notebook: Cloud Pak for Data 3.5

  

• IBM Watson Knowledge Catalog Overview: Cloud Pak for Data 3.5

  

• Organize governance artifacts with categories: Cloud Pak for Data 3.5

  

• Enable Git integration with a project and Jupyter Lab IDE: Cloud Pak for Data 3.5

  

• Analyze precipitation data using a sample notebook in a project: Cloud Pak for Data 3.5

  

• Collaborate on Watson Studio projects: Cloud Pak for Data 3.5

  

• Shape data using Data Refinery: Cloud Pak for Data 3.5

  

• Add a connection and connected data to a project: Cloud Pak for Data 3.5

  

• Create a custom environment for Jupyter notebooks in Watson Studio: Cloud Pak for Data 3.5

  

• Create a project from a file and from a GitHub repository: Cloud Pak for Data 3.5

  

• Jupyter notebook basics in Watson Studio: Cloud Pak for Data 3.5

  

• Run a sample AutoAI experiment to create a model: Cloud Pak for Data 3.5

  

• Add assets to a catalog: Cloud Pak for Data 3.5

  

• Find catalog assets quickly: Cloud Pak for Data 3.5

  

• Create a streams flow with the canvas: Cloud Pak for Data 3.5

  

• Streams Flows Overview: Cloud Pak for Data 3.5

  

• Create a Data Historian example streams flow: Cloud Pak for Data 3.5

  

• Monitor a running streams flow: Cloud Pak for Data 3.5

  

• Visualize data with Brunel in Jupyter notebooks with Watson Studio: Cloud Pak for Data 3.5

  

• What's new in IBM Cloud Pak for Data version 3.5?

  

• IBM Db2 Data Management Console: Cloud Pak for Data

  

• Access Control in Data Virtualization: Cloud Pak for Data

  

• Data Masking in Data Virtualization: Cloud Pak for Data

  

• Add platform connections: Cloud Pak for Data 3.5

  

• Discover assets from an external data source using Quick Scan: Cloud Pak for Data 3.5

  

• Create data transformation job from a template: Local to remote: Cloud Pak for Data 3.5

  

• Create data transformation job from a template: Remote to remote: Cloud Pak for Data 3.5

  

• Create a data transformation job from template/Db2 source and target: Cloud Pak for Data 3.5

  

• Create a simple parallel job to transform data: Cloud Pak for Data 3.5

  

• Data Request in Data Virtualization: Cloud Pak for Data

  

• Streaming analytics in Python with IBM Streams: Cloud Pak for Data

  

• Use Atom to Deploy an Application on the Streams Add On: Cloud Pak for Data

  

• Introduction to streaming analytics with IBM Streams: Cloud Pak for Data

  

• Monitor the status of an IBM Streams instance: Cloud Pak for Data