Building a Rapid Prototype with Watson Studio AutoAI-Introducing AutoAI
Welcome/Introduction
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Course Prerequisites
Learning Outcomes
Introducing AutoAI
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AutoAI Implementations
References
Summary
Building a Rapid Prototype with Watson Studio AutoAI-Watson Studio Platform Basics
Learning Outcomes
Watson Studio Setup
Watson Studio Platform Basics
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Watson Studio Lab (Activity)
Summary
Building a Rapid Prototype with Watson Studio AutoAI-Building Rapid Prototypes
Learning Outcomes
Building Rapid Prototypes Demo Introduction
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Classification Demo
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Examining the Notebook
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Regression Demo
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References
Building Rapid Prototypes Lab (Activity)
Summary
Building a Rapid Prototype with Watson Studio AutoAI-End of module review & evaluation
Summary/Review
Automated Data Preparation and Model Selection-Automated Data Preparation
Module 2 Introduction
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Learning Outcomes
Building the Prototype: Prep (graphic)
Automated Data Preparation
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Classification Prep Demo
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Regression Prep Demo
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References
Data Preparation Lab (Activity)
Summary
Automated Data Preparation and Model Selection-Automated Model Selection using DAUB Algorithm
Learning Outcomes
Building the Prototype: Model selection (graphic)
The model selection problem
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Multi-armed Bandit Approach
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DAUB Algorithm
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References
Demo Classification: Making Changes to the Models
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Demo Regression: Making Changes to the Models
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Model Selection Lab (Activity)
Summary
Automated Data Preparation and Model Selection-End of module review & evaluation
Summary/Review
Automated Feature Engineering and Hyperparameter Optimization-Automated Feature Engineering with Cognito
Module 3 Introduction
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Learning Outcomes
Building the Prototype: Feature Engineering (graphic)
Automated Feature Engineering
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Cognito - Transforms and the Transformation Graph
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Cognito - Transformation Graph Exploration
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References
Demo Classification: Feature Engineering
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Demo Regression: Feature Engineering
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Feature Engineering Lab (Activity)
Summary
Automated Feature Engineering and Hyperparameter Optimization-Automated Hyperparameter Optimization with RBFOpt
Learning Outcomes
Building the Prototype: HPO (graphic)
Automated HPO
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RBFOpt
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References
HPO Demo
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Automated HPO Lab (Activity)
Summary
Automated Feature Engineering and Hyperparameter Optimization-End of module review & evaluation
Summary/Review
Evaluation and Deployment of AutoAI-generated Solutions-Evaluating AutoAI-generated Prototypes
Module 4 Introduction
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Learning Outcomes
Evaluation Demo
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Evaluation Lab (Activity)
References
Summary
Evaluation and Deployment of AutoAI-generated Solutions-Deploying AutoAI-generated Prototypes
Learning Outcomes
Deployment Demo
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Deployment Lab (Activity)
Summary
Evaluation and Deployment of AutoAI-generated Solutions-End of module review & evaluation
Summary/Review
Course Closing
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More AutoAI Capabilities from IBM / References