Noah Topper
Master's student at University of Central Florida
Expertise: Artificial intelligence, machine learning
Education: University of Central Florida
Noah Topper is a master’s student in computer science at the University of Central Florida, where he also earned his bachelor's in mathematics. He has published research in reinforcement learning and interned with Apple doing time series analysis. He is particularly interested in the future of artificial intelligence and how AI will shape the course of history.
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Beam search is an approximate search algorithm with applications in natural language processing and many other fields. Our expert explains how it works.
The bag of words model is a simple way to convert text into numerical data for natural language processing in machine learning. Our expert explains how it works.
The sigmoid activation function is one of the earliest activation functions used in machine learning, but it still has many useful applications today. Our expert explains everything you need to know.
K-means is a simple but powerful clustering algorithm in machine learning. Here, our expert explains how it works and its plusses and minuses.
Much of the work on artificial intelligence presumes that human cognition can be recreated digitally. Our expert asks a more fundamental question: What does it mean to regard the human brain as a computer?
Artificial general intelligence is the ultimate goal of much research in the field, but is it possible? Our expert says that depends on another question: Is the human brain a computer?