You’ve heard about how AI and machine learning are transforming businesses across industries and around the world, but you don’t know how they’ve done it or even where to start. Figuring out the right problems to solve with machine learning can be a daunting exercise. Where are the good opportunities to leverage AI within your organization? What problems are best…
What are SHAP values and how are they being used to explain machine learning predictions? Meet Mark Romanowsky, a Data Scientist at DataRobot. Mark explains the important role that SHAP values play in machine learning by providing real-world examples: how a group of friends can fairly and efficiently share an Uber ride to their separate homes, and helping college students…
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Is AI taking over our jobs? Will AI replace the need for humans? No. Think of the rise of AI as a way of enhancing us, not replacing us. Colin Priest, VP of AI Strategy at DataRobot, explains when to use AI to complete a task and when to turn to a human. It’s about focusing on the strengths of…
What good is a machine learning model if you don’t understand what it is, how it works, or how to leverage it? Bill Surrette, Data Scientist at DataRobot, explains the importance of model interpretability in this AI Simplified video. “Any time we build a model to represent a complex, real-world situation, we as data scientists want to make sure we…
Artificial intelligence (AI) and machine learning are terms widely used across industries, and it’s clear that organizations that aren’t on the AI and machine learning path will lose their edge and fall behind. But let’s slow things down a bit. Does it ever seem like both terms are often frequently used interchangeably that it’s hard to understand what they actually…
It is well-known that the AI revolution is transforming industries and businesses around the world. In this AI Simplified video, we define supervised machine learning and share some ways the military leverages this technology to maintain safety and ensure preparedness. Michael Taberski (Customer-Facing Data Scientist) talks about the fundamentals of supervised machine learning by breaking it down into two categories:…
Akira Shibata, Chief Data Scientist, Japan Akira Shibata is DataRobot’s Chief Data Scientist in Japan and was the first Japanese team member back in 2015. It was great sitting down to talk with him about his journey from physics to data science, his entrepreneurial experiences, and where you can find him when he’s not leading DataRobot’s Japan team. What are…
“The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data.” (Forbes) Organizations around the world are leveraging this explosion of data to solve some of their biggest business…