ML Rapid Prototyping with IBM Watson Studio

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)

Description for ML Rapid Prototyping with IBM Watson Studio

Features of Course

  • 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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