Why Machine Learning Automation Alone Is Not Enough
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.