Sean Benhur
Machine Learning Engineer at Comcast
Expertise: Machine learning, data science
Education: PSG College of Arts & Science

Sean Benhur works on machine learning at Comcast. He has worked on various machine learning projects, including NLP and computer vision. He interned at NVIDIA and worked as a researcher at the University of Galway. 

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4 Articles
A street full of people. Meta-learning helps machines recognize objects and learn unseen, new tasks on their own.
Guide to Meta Learning
Meta learning helps models learn new, unseen tasks on their own.
A python coiled on a branch. Logging in Python can help software developers keep track of and back up their work.
Guide to Python Logging
Use this tool to keep track of and back up your hard work.
Clusters of grapes; hierarchical clustering is a type of clustering algorithm in machine learning.
Hierarchical Clustering: Agglomerative and Divisive Clustering
Hierarchical clustering uses distance functions to find nearby data points and group the data points together as clusters.
siamese-network two Siamese cats laying next to each other
A Friendly Introduction to Siamese Networks
A Siamese neural network (SNN) is a type of neural network architecture that contains two or more identical sub-networks with the same parameters and weights. SNNs can make predictions using only a few images per class.