Feature engineering involves systematically transforming raw data into meaningful and informative features (predictors). It is an indispensable process in machine learning and data science. This ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by mature machine learning methods. Classical ML techniques — including Random ...

In production machine learning systems, the model itself is only a small part of the implementation. The "scaffolding" required to run machine learning models, also called machine learning operations ...

a.The architecture of the all-optical CNN for OAM-mediated machine learning, which can be applied to encode a data-specific image into OAM states. The photonic neural network comprises a trainable ...