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GradCorner publication is a space that focuses on providing simple explanations to advanced AI concepts.
The goal of the publication is to demystify difficult ML topics and research papers, providing digestible summaries. It is suitable for researchers, grad students, and industry professionals who want to understand how complex ML models work and how to deploy them into production environments.
GradCorner is a fusion of the words Graduate and Corner, symbolizing a dedicated space where graduate students explore intriguing topics at the intersection of academia and AI. The name was inspired during the PhD journeys of our founding team members, reflecting their vision of creating a go-to hub for intellectual exploration, cutting-edge AI advancements, and meaningful connections.
If you are interested in learning more about AI, machine learning and algorithm, I will be over the moon by joining the publication, and becoming one of our family members. Come and Join us!
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Waleed Khamies is an applied machine learning scientist and on the PhD track at the University of Alberta, specializing in AI and healthcare. His research focuses on neural biomarkers in mental health conditions and developing secure AI models to support their care.
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My values are the core of who I am. They shape how I make decisions, build relationships, and pursue my goals. By sharing them...
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