Kortical's auto-ML platform accelerates the time it takes to move from explorational to deployment as a data scientist. By automating the vast majority of steps in a machine learning pipeline, Kortical enables a data analyst to build production ready machine learn solutions. There are a wide array of supervised learning algorithms to tackle different problems. Review collected by and hosted on G2.com.
For the more advanced data scientists, there is probably a desire to hand craft machine learning solutions from scratch and to be incomplete control of the workflow. There is also a need to conduct most feature engineering prior to ingesting data into the platform. Review collected by and hosted on G2.com.
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