Building A Music Recommendation System Like Spotify | Music Recommender System | Intellipaat
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About the Workshop
Have you ever noticed how various websites give you recommendations of what to read, what to watch, or what to listen to, based on your interests and activity on the internet? From tech giants, such as Google and Netflix, to e-commerce companies, such as Amazon and eBay, the concept of a recommendation engine accounts for a large margin of customer acquisition and buyer conversion. In this workshop, we will try to understand the working of one such music recommendation engine and build it from scratch.
What You Will Learn in the Workshop?
1. What are Recommendation Engines?
2. How Do Recommendation Engines Work?
3. What Algorithm is Best-suited for Music Recommendation?
4. Building a Music Recommendation Engine Around User Preference and Activity
About the Trainer
Sumit holds a BE (Hons) from BITS Pilani and is associated with Microsoft as a data and applied scientist. He has 7+ years of experience in data science and machine learning. Sumit has also worked for reputed organizations such as Tata and Jio. Along with being a successful data science and machine learning professional, he is also one of the well-known trainers in the field. He has personally mentored over 50 data science aspirants. Sumit’s lectures have so far benefited 1000+ learners and his technical sessions include almost 150 data science learners at a time.
#BuildingAMusicRecommendationSystemLikeSpotify #MusicRecommenderSystem #SpotifyRecommendationSystem #MusicRecommendationEngine #HowSpotifyRecommendsMusic #MachineLearningProjects #Intellipaat
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