Oct. 21, 2022, 5:27 a.m. | Abhibhav Sharma

Towards Data Science - Medium towardsdatascience.com

Learning Facial Features Using Non-Negative Matrix Factorization Through Scratch Coding In R

Hands-on Vanilla Modelling Part IV

By Author

Turn to your nearest window and try to gaze outside at any object your eyes may encounter. Now ask yourself the question, whilst identifying the object did your brain perceive it as a whole, or were there certain parts or features of the object that were enough for you to decide what the object was? The ability of our brain to …

factor-analysis factorization features image-analysis machine learning matrix-factorization negative neural networks

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne