No BiaS Podcast

on the emerging & ever-shifting terrain of artificial intelligence & machine learning

AI & ML Technology Updates

Latest Episode

In this episode

The main objective of computer vision is to give machines the gift of sight as well as the capacity to understand visual input. This has proven a much more complex task than expected. We often take for granted the fact that our vision evolved biologically over millions of years, and we develop our ability to interpret and classify the world around us in early childhood. 

In this episode Saurabh, Nikhil, and Melody..

Bios

  • Melody Travers

    Melody Travers

    Melody Travers is the content marketer at Alegion, as well as the producer and host of NoBias. Melody is a digital content wiz; she is passionate about creating delightful, educational content, fostering meaningful connections, and

  • Nikhil Kumar

    Nikhil Kumar

    Nikhil Kumar is currently the senior data scientist in the research division at Alegion. Nikhil’s work includes building machine learning models to support Alegion’s customer’s use cases, the management of A/B testing product features,

  • Saurabh Bagalkar

    Saurabh Bagalkar

    Saurabh is the applied machine learning engineer with a focus on computer vision for Alegion’s research division. His role involves developing computer vision and deep learning algorithms to support our customer’s use cases. He works

More Episodes

Sort By

CV & ML - Visual Understanding Beyond Object Recognition

November 12, 2019
26 MINUTES

In this episode

The main objective of computer vision is to give machines the gift of sight as well as the capacity to understand visual input. This has proven a much more complex task than expected. We often take for granted the fact that our vision evolved biologically over millions of years, and we develop our ability to interpret and classify the world around us in early childhood. 

In this episode Saurabh, Nikhil, and Melody..

Bias in Machine Learning

October 8, 2019
22 MINUTES

In this episode

Did you know that not all bias in machine learning (ML) is bad? In fact, the concept of bias was first introduced into ML by Tom Mitchell in his 1980 paper, "The need for biases in learning generalizations.” He defines learning as the ability to generalize from past experience in order to deal with new situations that are related to this experience, but not identical to it. Applying what we’ve learned from past..

Supervised Vs Unsupervised Learning

September 10, 2019
20 MINUTES

In this episode

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..

Is Data The New Oil?

August 8, 2019
22 MINUTES

In this episode

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.”

AI Vs Machine Learning

July 19, 2019
20 MINUTES

In this episode

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..