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 continue our five-part series on the steps to take before launching a machine learning startup. The complete report, available here, covers how to get started, choose a framework, decide what ...

This shift—from handcrafted expertise to industrial-scale optimization—is the most important transformation in AI today.

Based on our reporting over the last year, you might conclude that machine learning technology has entered the mainstream with countless workloads in production. While developers are indeed moving up ...

Niloy Gupta, Machine Learning Engineer Tech Lead at Attentive Mobile, is an expert in scaling machine learning systems for various industry verticals.

Machine learning may be eating software, but it looks as though feature stores may be eating machine learning. In the rush to develop and roll machine learning applications into production, ...

Deep learning, neural networks, imitation games—what does any of this have to do with teaching computers to “learn”?