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ML Rapid Prototyping with IBM Watson Studio

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This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.

Key AI Functions:Data Science, Python Programming, Information Engineering, Machine Learning, Artificial Intelligence (AI)

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Description for ML Rapid Prototyping with IBM Watson Studio

Learn how to create an automated pipeline from start to finish by utilizing the AutoAI experiment tool in Watson Studio.

Concentrate on the automation of model selection, feature engineering, and hyperparameter optimization to improve the efficacy of the model.

Utilize auto-generated Python notebooks and comprehend the fundamental technology developed by IBM Research.

Utilize automation techniques to refine models and swiftly prototype with the test data sets provided for two use cases.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by IBM

Duration: 8 hours to complete

Schedule: Flexible

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