Music Recommendation in Apps like Spotify

About the Webinar

The recommendations that you see on various websites regarding what to buy, what to watch next, etc., are all based on the working of recommendation models. The concept of recommendation engines has changed the way businesses work. Since customers are becoming tech-savvy and have digital media at their fingertips, the usage of recommendation engines and models have increased considerably in recent times. Hence, learning about how recommendation engines work will definitely be of use to professionals who are engaged in artificial intelligence, machine learning, data science, and functional domains.

In this webinar, we will focus on understanding how music recommendation engines work and how to build such a model from scratch.

Agenda

• What are Recommendation Engines?
• How Do Recommendation Engines Work?
• What Algorithm is Best-suited for Music Recommendation?
• Building a Music Recommendation Engine around User Preference and Activity

What You Will Learn

• Introduction to Recommendation Engines
• Concepts related to Recommendation Models
• Music Recommendation Algorithms
• Building a Music Recommendation Engine based on User Preference and Activity

About the Speaker

Sumit carries around 7+ experience in the field of data science and machine learning. He holds a BE (H) degree from BITS Pilani and has worked for reputed organizations such as Tata, Jio, etc. Sumit has an excellent track record in training 1,000+ learners and mentoring over 50 data science aspirants.