The rise of platforms like Youtube, Amazon, and Netflix, have brought recommendation algorithms to the forefront of our online experience. These algorithms are becoming an integral part of our day-to-day activities, whether in e-commerce (getting suggestions for products that might interest you) or online content (getting suggestions for media that suits your preferences).
Although, have you ever wondered how these recommender systems know exactly what you like? The answer lies in their use of Big Data. Machine learning and algorithms are the driving forces behind these recommendation engines. From the items in your wishlist to how long you spend picking a show, all these are factors that are taken into account during the formulation of algorithms.
Come join us for this 1-hour webinar to uncover the secrets behind these "magic algorithms", and learn from industry experts how data collection is changing the way we do business.
I am a data science professional, currently working as the manager for the Flight Centre data science team. Our team’s focus is to drive innovation and use robust machine learning methods to assist senior management with data driven decision making across various aspects of the business.
Having a background in Mechanical Engineering I have had the opportunity to apply my skill set across a number of domains, including resources and commercial, with each carrying their own technical challenges. Here at FCTG I have spent the majority of my time on the production and implementation of recommender systems and time series forecasting applications.
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