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No Bias

A monthly Technology podcast
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Episodes of No Bias

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
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
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
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),
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 adva
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 a
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 t
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 app
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." Th
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 developi
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