The Comfiz Platform gives organizations the capacity to consolidate their business data and partners data into a coherent data environment dedicated to data enrichment for data science models design.
The Comfiz platform data integration features give data scientists, data architects and data analysts the capacity to:
Feature engineering is the craft of transforming raw data into a set of features whose properties are well-adapted to what machine learning algorithms can handle.
The pipeline jungle concept has been crafted by a team of Google researchers in a paper aiming at evaluating the costs of poorly designed ML system architecture and business processes.
Pipeline jungles can only be avoided by thinking holistically about data collection and feature extraction. This engineering effort can dramatically reduce ongoing costs and speed further innovation.
The process of developing data science models is complex and can result in quality problems further down the line if it is not well documented and industrialized.
The documentation should be self-contained and extensive at all level of machine learning workflows.