An emerging trend in AI is the availability of technologies in which automation is used to select a best-fit model, perform feature engineering and improve model performance via hyperparameter optimization. This automation will provide rapid-prototyping of models and allow the Data Scientist to focus their efforts on applying domain knowledge to fine-tune models. This course will take the learner through the creation of an end-to-end automated pipeline built by Watson Studio’s AutoAI experiment tool, explaining the underlying technology at work as developed by IBM Research. The focus will be on working with an auto-generated Python notebook. Learners will be provided with test data sets for two use cases.
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Machine Learning Rapid Prototyping with IBM Watson Studio
IBMAbout this Course
Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
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Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Data Science
- Information Engineering
- Artificial Intelligence (AI)
- Machine Learning
- Python Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 8 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
2 hours to complete
Building a Rapid Prototype with Watson Studio AutoAI
2 hours to complete
7 videos (Total 36 min), 14 readings, 4 quizzes
2 hours to complete
Automated Data Preparation and Model Selection
2 hours to complete
9 videos (Total 34 min), 11 readings, 3 quizzes
2 hours to complete
Automated Feature Engineering and Hyperparameter Optimization
2 hours to complete
9 videos (Total 36 min), 11 readings, 3 quizzes
2 hours to complete
Evaluation and Deployment of AutoAI-generated Solutions
2 hours to complete
4 videos (Total 8 min), 9 readings, 4 quizzes
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