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Recommendation systems play a significant role—for users, a new world of options; for companies, it drives engagement and satisfaction.
In this webinar, the speaker walks you through the different paradigms of recommendation systems and introduces how deep learning-based approaches are used to build and scale modern recommendation system engines.
This webinar is mainly suitable for Full-stack developers, product managers, data analysts and data scientists. No prior knowledge of recsys is assumed.
Bargava Subramanian, Co-founder and CEO - Binaize
Bargava is the founder and CEO of an AI-based startup in Bangalore. He has 17+ years experience in building and scaling analytics and data science. His expertise is in helping businesses use data and algorithms to build a moat. He actively mentors startups and individuals in their data science journey.He is reachable on twitter (https://twitter.com/bargava) and he writes a monthly data science newsletter (https://theradjourney.substack.com)
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