Experienced, hands on, software and algorithms manager with unique multidisciplinary knowledge and proven leading skills. He has a wide experience in the design and implementation of machine learning, recommender systems, NLP, data mining, and optimization algorithms. He has been managing and building small-medium diverse engineering teams for over a decade and currently, he is Recommendations Data Science Manager, leading a diverse group of algorithm engineers in charge of the key KPIs of Outbrain’s recommender system.
🇮🇱 Computer Vision for The Poor: How to easily reduce Deep Computer Vision to shallow NLP
Being able to classify images is at the heart of many recommender systems. In this talk, we will share a simple trick to make the task of building an image classifier as easy as building a standard text classifier.