Learn what bias is in the world of machine learning. We’ll look at three main things someone might mean when they refer to a biased model—real-world bias, sampling bias, and model bias.
Author: Chris Doty
Automation is disrupting and displacing old models of production and permanently changing manufacturing. Let’s uncover how we got here and what this new technology means for manufacturers.
Are you new to machine learning and unsure where to started? Read our beginner’s guide covering everything you need to know—what it is, examples, why it’s so valuable and more.
If you’re new to data science and aren’t sure where to start, don’t sweat it. Read our beginner’s guide including everything you need to know about applying it to your organization.
How is data analytics being used in the food and beverage industry today? Here we’ll dive into 6 of the top use cases that are driving real business impact for these organizations.
Chemical manufacturers can confront common challenges head on with artificial intelligence. Let’s look at six specific examples of how AI can help.
Let’s look at five examples of how capital-intensive businesses are leveraging AI to improve their bottom lines.
There’s no denying that AI can produce enormous benefits across key areas of insurance. Here are five ways that insurance companies are using it to impact their bottom line.
RapidMiner continues to expand the reach of AI and ML by providing plants with the ability to run their own machine learning models. Take a look!
The automotive industry has begun leveraging new technologies to reshape not only how we drive cars, but also how we conceptualize them. Here are the three biggest technological trends driving the automotive industry in 2021.