We will show a small machine learning case study on Encripted Data usin PALISADE homomorphic encription library. The case study presents an application (collaborative filtering) that uses Mexican electronic invocing data. This workshop is a collaboration between a Canadian company and a Mexican software company baes in Yucatan with ten years of experience in digital invocing. It will include a brief review on Mexican electronic invoicing for students from outside the country.<\/p>\n","pubDate":"Wed, 25 Aug 2021 00:00:00 +0000","guid":"tag:pyvideo.org,2021-08-25:\/riiaa-2021\/machine-learning-on-encrypted-data-using-homomorphic-encryption.html","category":["RIIAA 2021","Artificial Intelligence","Cryptography","Homomorphic Encryption","IA","Machine Learning"]}}}