Podcast

In this episode Melody chats with Luis Serrano, accomplished Machine Learning Engineer, educator, and author about his new book Grokking Machine Learning.

Luis’ mission is to make information about artificial intelligence and machine learning available to every person in the world. In his new book, Grokking Machine Learning, Luis distills the essential information of machine learning and guides readers toward an..

Experimentation is the foundation of machine learning and artificial intelligence model development. As William Blake said, ‘The true method of knowledge is experiment.’ 

An experiment is a way to answer the question, what happens when? Like what happens when I try this combination of chess moves? While the principles are the same, experimenting in the digital world of ML is very different than in the physical world. As..

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..

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..

The main objective of computer vision is to give machines the ability to see and interpret the world. This has proven a much more complex task than initially expected. We take for granted our innate ability to interpret and classify the world around us. We are attempting to do in decades what took evolution millions of years. 

In this episode Saurabh, Nikhil, and Melody discuss the emergence of computer vision as a..

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..

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..