Predictive analytics is finding greater applications across every industry, but especially in manufacturing. Here’s how.
Author: Kristen M. Vaughn
Artificial intelligence helps all kinds of manufacturers work quicker and smarter. Here are some of the most impactful use cases of AI in manufacturing.
What is anomaly detection? In data science, anomaly detection is the process of identifying events and observations that deviate from a dataset’s usual pattern. As
What exactly is reinforcement learning? Reinforcement learning is a trial-and-error training method for machine learning models. This approach is especially useful for teaching computers to make sequential,
Here are some applications of data science that we’ve seen drive success across organizations with specific examples for you to pull inspiration from.
What is edge computing? Edge computing has been gaining popularity in enterprise tech—especially in the manufacturing, utility, and shipping industries—and you may be wondering if it’s
What is ensemble learning? Ensemble learning is a method for improving predictive performance by combining different machine learning models—much as you might blend different instruments and voices
What is active learning in machine learning? Active learning is a form of semi-supervised machine learning that facilitates faster algorithm training by proactively identifying high-value
At the DATAcated Conference 2021, experts from a wide range of industries shared great advice for anyone looking to improve how they work with data. Here are some key takeaways.
You’ve probably heard the term “upskilling” in relation to machine learning and data science. But what does it mean, exactly, and why does doing it