Offered By: IBMSkillsNetwork
Build an Image Retrieval System with NMF and More
How would you create an image retrieval system to find similar images? Non-Negative Matrix Factorization would be the right tool to use. It is an unsupervised learning technique used for decomposing data. Non-Negative Matrix Factorization will be a useful and powerful tool since factorized matrices can be interpreted as real images. Check out this guided project to find out what NMF is, how it works and how to apply it to solve real life business problems.
Continue readingGuided Project
Data Science
178 EnrolledAt a Glance
How would you create an image retrieval system to find similar images? Non-Negative Matrix Factorization would be the right tool to use. It is an unsupervised learning technique used for decomposing data. Non-Negative Matrix Factorization will be a useful and powerful tool since factorized matrices can be interpreted as real images. Check out this guided project to find out what NMF is, how it works and how to apply it to solve real life business problems.
Throughout this project, you will gain an understanding of NMF's theoretical concepts and practical implementation. We will apply NMF to real-world datasets to extract meaningful patterns and components. By the end of this project, you will be familiar with NMF's uses and how it can be applied to different domains.