Building a Music Recommendation Engine

Building a Music Recommendation Engine

Learn how to build a music recommendation engine in this comprehensive 43-minute tutorial. Explore the AudiSet Dataset, understand embedding generators, and dive into code examples for generating embeddings from WAV files and processing AudioSet data. Gain insights into the ANNOY (Approximate Nearest Neighbors Oh Yeah) algorithm and its application in recommendation systems. Follow along with practical code demonstrations to create a Spotify-like recommender using ANNOY. Access additional resources, including GitHub repositories, detailed explanations, and slideshows to enhance your understanding of audio processing and recommendation algorithms.