on the emerging & ever-shifting terrain of artificial intelligence & machine learning
In this episode
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..
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
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
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 engaging customers wherever they are in their machine learning journey. She is an avid reader and an accomplished singer-songwriter (you may recognize one of her songs as the NoBias theme music) recording under her stage-name Melody Chebrellan. Melody is a Fulbright fellow, has a Bachelor’s degree in Sociology from Kenyon College, and a Master’s degree in Philosophy at the University of Potsdam, Germany.
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 closely with engineers to develop and deploy computer vision models that are used by our customers. His research interests include using TensorFlow to develop deep learning algorithms, implementing modern computer vision algorithms to solve business problems, as well as medical image processing. Prior to working at Alegion, he has worked in tech start-ups in the medical imaging space. Saurabh is most passionate about solving problems related to perception and machine vision using the power of artificial intelligence. He has a bachelor’s degree in biomedical engineering from the University of Mumbai, and a master’s degree in biomedical engineering from Arizona State University with a focus on image processing.
In this episode
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..
In this episode
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..
In this episode
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..
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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..
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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..
In this episode
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..
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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.”
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..