Videos

You can watch videos to learn about Cloud Pak for Data as a Service, including the core services of Watson Studio, Watson Machine Learning, and Watson Knowledge Catalog, plus the other services that add tools to Watson Studio.

Choose a category:

• Getting started
• Notebooks
• Dashboards
• Data Refinery
• Machine learning
• Decision Optimization
• Visual Recognition
• Natural Language Classifier
• SPSS Modeler
• RStudio
• Streams flows
• Watson Knowledge Catalog

Getting started

• Sign up for Cloud Pak for Data as a Service
• Create a Watson Studio project
• Tour the gallery
• Create a catalog and find assets quickly
• Manage object storage
• Collaborate on Watson Studio projects
• Add connected data from a data source to a project
• Create a folder asset connection in a Watson Studio project

Notebooks

• Jupyter notebook basics in Watson Studio projects
• Create a Jupyter notebook and custom environment in a project
• Load and analyze public data sets
• Publish notebooks to GitHub from a Watson Studio project
• Analyze NY restaurant inspections data in a Jupyter notebok
• Use Spark R to load data and run SQL queries in a Jupyter notebok
• Analyze precipitation data using a sample notebook in a project
• Use Spark Machine Learning Libraries in Jupyter notebooks
• Analyze Db2 Warehouse data in a Jupyter notebook
• Use the SQL-Cloudant connector in a Scala notebook
• Use the SQL-Cloudant connector in a Python notebook
• Associate an Analytics Engine service with a Watson Studio project
• Analyze and visualize data with IBM Analytics Engine

Dashboards

• Create and share a business analytics dashboard using Watson Studio

Data Refinery

• Add connected data from a data source to a project
• Shape data
• Copy data to a new target
• Blend data from multiple sources

Machine learning

• Migrate assets to use with upgraded Watson Machine Learning service
• Run a sample AutoAI experiment to create a Watson Machine Learning model
• Build a binary classification model using an AutoAI Experiment
• Build a multiclass classification model using an AutoAI Experiment
• Test a model using the Watson Machine Learning APIs
• Use a machine learning predictive model with streaming patient data
• Score predictive analytic machine learning model using SPSS Modeler
• Track machine learning model asset activities
• Get Started with Watson Machine Learning in IBM Cloud
• Leverage AI Recommendation Models for insurance claims with Watson AI

Decision Optimization

• Decision Optimization for Watson Studio
• Decision Optimization Interface within Watson Studio - Python model
• Building Decision Optimization models using modeling assistant within Watson Studio
• Deploy Decision Optimization model using IBM Watson Machine Learning
• Develop and deploy using IBM Watson Studio and Watson Machine Learning

Visual Recognition

• Get Started With Visual Recognition
• Create, train, and test a visual recognition model
• Retrain a visual recognition model
• Build an object detection model using Watson Visual Recognition
• Leverage AI Recommendation Models for insurance claims with Watson AI

Natural Language Classifier

• Create and train a Natural Language Classification model
• Retrain a Natural Language Classification model

SPSS Modeler

• Import an SPSS Modeler flow into a Watson Studio project
• Score predictive analytic machine learning model using SPSS Modeler
• Use a machine learning predictive model with streaming patient data

Other related SPSS Modeler videos

• Visual Classification Modeling in Watson Studio Desktop
• Time Series Modeling in Watson Studio Desktop

RStudio

• Overview of RStudio IDE
• Load data into RStudio
• Connect to external data sources in RStudio
• Run Shiny applications in RStudio

Streams flows

• Overview of streams flows
• Create a Data Historian example streams flow
• Monitor a running streams flow
• Create a streams flow with the canvas
• Use a machine learning predictive model with streaming patient data
• Ingest data from IoT Devices using streams flows - Part 1
• Use Python to process streaming data using streams flows - Part 2
• Score streaming data with R and Watson Studio streams flows

Watson Knowledge Catalog

• Watson Knowledge Catalog foundational concepts
• Create a catalog and find assets quickly
• Add assets to a catalog
• Add connected data from a data source to a project
• Use catalog assets in a project
• Import asset metadata from an external source into a project
• Watson Knowledge Catalog data policies overview
• Mask data with Watson Knowledge Catalog
• Create a folder asset in a catalog
• Track data asset activities
• Track machine learning model asset activities