Before feeding data into a machine learning model, it’s important to ensure that data is in a state that will behave nicely for that model. Typically, one would manually endure the entire process of feature engineering in order to create model-ready data. However, with Molecula’s feature extraction and storage solution, your raw data is transformed into a model-ready state (*with room for input from your data teams).
One of the difficulties of machine learning is “the curse of dimensionality,” which says that throwing any and all information at an algorithm does not typically result in a successful model. However, with Molecula, instead of starting from scratch each time a data scientist needs a new feature, initial features are extracted from your raw data and reside within our feature storage solution, allowing instant access to the ingredients your data scientists need to create high-performance models.NEXT