Building a Music Recommendation Engine
Offered By: Coding Tech via YouTube
Course Description
Overview
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.
Syllabus
Overview
AudiSet Dataset
Embedding Generator
Code: Generate Embedding from WAV
Code: AudioSet Processing
ANNOY Explained
Recommendation Engine Code with ANNOY
Taught by
Coding Tech
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