Why Machine Learning Automation Alone Is Not Enough

By dotData Staff

While machine learning automation has been highly publicized, it accelerates only a part of the data science process.

It is vital to automate the entire process, including critical steps that ML-only platforms miss such as:

  • Data collection
  • Last-mile ETL
  • Feature engineering

Fill out the form to download dotData’s white paper to learn why machine learning automation alone isn’t enough for your data science initiatives.

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