Read more about importance of proper data splitting in machine learning to avoid models being inaccurately trained on a narrow set of data they've already seen, plus common pitfalls in data splitting, and introducing Tasq.ai's automated data pipeline as a more efficient, flexible, and scalable solution for setting up machine learning models, with an emphasis on human validation through a global network of experts.The post Data Split: Training, Validation, and Test Sets appeared first on Tasq.ai.
