For companies with no previous experience in machine learning, what steps should be taken to start an AI project and avoid common mistakes?
Feature engineering often plays a much bigger role in model performance than people initially expect. Many specialists from a machine learning agency emphasize that transforming raw data into meaningful features can dramatically improve prediction accuracy. While learning more about how professional ML teams approach this stage, I also looked through materials describing real development workflows at https://data-science-ua.com/ml-development-company/, which explain how structured feature preparation is integrated into production pipelines.