Webinar: Introduction to Recommendation Systems using Deep Learning

About the Webinar: 

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.

Key Takeaways from the Webinar:

• Get an introduction to recommendation systems and paradigms across domains
• Gain an end-to-end view of deep learning-based recommendation and learning-to-rank systems
• Understand practical considerations and guidelines for building and deploying recommendation systems for your own problems

Who is this Webinar for?

This webinar is mainly suitable for Full-stack developers, product managers, data analysts and data scientists. No prior knowledge of recsys is assumed.

Speaker: 

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)