No BiaS is a podcast about the emerging and ever shifting terrain of artificial intelligence and machine learning. Each episode your host, Melody, gets to pick the very big brains of machine learning researchers Nikhil Kumar, Carnegie Mellon University, and Saurabh Bagalkar, University of Mumbai, and hear their different perspectives on the frontier of AI technology. 

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When discussing machine learning development approaches, data scientists often need to ask themselves does this use case apply best for supervised or unsupervised learning? In this episode we break down the strengths and weaknesses of each approach and discuss various use cases to which each one best applies. Melody explores the notion that supervised learning works much like our education system: there's a teacher "supervising" the learning process. Unsupervised learning on the other hand has no correct answers and no teacher. Algorithms are simply fed unlabeled data and left to structure the data in some new, interesting way. Melody, Nikhil, and Saurabh dive into each approach and cite exciting business use cases including autonomous vehicles, Speech2Face, and accelerating ecological research in Serengeti National Park.


Have you heard that “Data is the new oil”? It sounds cool, but what does it mean? Melody, Nikhil, and Saurabh tease out the ideas behind the metaphor and then discuss why Bernard Marr, a reporter for Forbes, wrote “Data is not the new oil." They end up offering a different, and perhaps more fitting metaphor to describe what’s fueling the 4th industrial revolution: “AI is the new electricity.”


Welcome to our first episode of No BiaS, where we discuss different perspectives on the emerging and ever shifting terrain of artificial intelligence and machine learning. In future episodes we’ll dive deeper into the nuts and bolts of developing and training models, philosophical issues, and existential concerns. But since this is our first episode we decided to begin with the basics: AI versus ML. We offer definitions and a historical background of how they have evolved over the past few decades into the current state. And then we will peek around the curtain to discuss the future of the industry.