Noa Barbiro is a Group Product Manager Data Science at Booking.com Tel Aviv, with over a decade of experience with leading product development in Israel and the US.
At Booking.com Noa is leading applied machine learning product development focusing on computer vision, NLP and voice-to-text transcription, in cross-disciplinary agile teams (including data science, UX research and design, software engineering and copywriting).
In addition, Noa is leading a mentorship program at non profit organization ‘LeadWith – Women Leading Tech’ to encourage women’s professional growth.
About the lecture
Booking.com is one of the world’s largest online companies, empowering the millions of people visiting our website or application to choose the right accommodation and travel experience among one of our 29M+ listings in 200+ countries. How can personalization be achieved in such a high scale, and to what extent does machine learning play a role? In this talk I’ll introduce the concept of Machine Learning, focusing on Deep Learning and cover the challenges and application of handling personalization using different methods such as Computer Vision and Sequence Models (NLP) to succeed in this task.
Join me as I walk-through the personalization concepts using deep learning and other machine learning applications, the role of a business or product manager in building machine learning solutions as well as the unique Booking.com experimentation culture that enables a measurable impact.
– How to start with Machine Learning.
– Two main methods for Deep Learning: Introduction to Computer Vision and Sequence models.
– Pragmatic and effective approach to personalization and how to measure success.
– All by providing concrete use cases and examples.