AI and machine learning bolster cryptocurrency analysis through advanced feature engineering, extracting insights for informed decision-making in volatile markets.

The skill of feature engineering — crafting data features optimized for machine learning — is as old as data science itself. But it’s a skill I’ve noticed is becoming more and more neglected.

What is Feature Engineering? Feature engineering is the process of applying domain knowledge to extract analytical representations from raw data, making it ready for machine learning. It is the first ...

AI and machine learning in engineering new products can provide abundant opportunities. Now is the time to consider how you could apply these technologies within and beyond engineering.

This fundamental (and quite reasonable) limitation of any machine learning technique is addressed by feature selection: choosing a good set of features upon which to build models.

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

Given the fact that machine learning platform and central ML roles are often among the most coveted AI-related engineering positions at large technology companies, Thomas Huang is breathing ...

It’s designed to make feature serving in machine learning easy, faster and more scalable, especially for real-time artificial intelligence applications.