No BiaS Podcast

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

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In this episode

The 2010s was the decade that “machine intelligence” made the leap from sci-fi to reality. When hard-coded rules were replaced by data-driven experience. When human cognition was translated into computer language and machines began to think and learn as humans do. 
 
It has been a decade of great technological advancement and there is so much yet to be accomplished. For example, automation poses exciting growth and..

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  • 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

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AI & ML in the 2010s

January 16, 2020
30 MINUTES

In this episode

The 2010s was the decade that “machine intelligence” made the leap from sci-fi to reality. When hard-coded rules were replaced by data-driven experience. When human cognition was translated into computer language and machines began to think and learn as humans do. 
 
It has been a decade of great technological advancement and there is so much yet to be accomplished. For example, automation poses exciting growth and..

NeurIPS 2019 Review - Insider's Guide

January 2, 2020
30 MINUTES

In this episode

NeurIPS is the machine learning research conference of the year. Although it has been around for 33 years, it has quadrupled in the last five, peaking at 13,000 attendees. NeurIPS is mostly attended by academics (PhD candidates and Post Docs), with a good representation of ML practitioners from industry like Apple, Facebook, Google, and Alegion. The purpose of the conference is to foster the exchange of research on..

Data Science for Business - How to Build a Kickass Team

December 10, 2019
32 MINUTES

In this episode

The landscape of every industry is shifting towards automation. Whether you are in software, retail, health, robotics, defense, or any other industry, AI and ML will continue to revolutionize your business model. To evolve your competitive advantage, you need a data science team to develop and support the full life-cycle of your automated systems. 

In this episode Melody and Nikhil chat with Alegion CTO Chip Ray about..

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..