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MLOps for Musicians - Akira Shibata

Offered By: Open Data Science via YouTube

Tags

MLOps Courses Data Science Courses Machine Learning Courses Deep Learning Courses Sound Synthesis Courses

Course Description

Overview

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Explore the intersection of AI and music in this 40-minute conference talk by Dr. Akira Shibata, a leading expert in AI innovation. Gain insights into democratizing data and AI in music, learn about recent advancements in AI for music, and discover Neutone, an AI audio plugin bridging AI research and musical creativity. Delve into topics such as the impact of Data & AI on existing industries, real-world AI applications beyond ML model building, and the state-of-the-art MLOps for musicians. Understand how new sound synthesis techniques are advancing AI usability in music and explore alternative approaches to AI-generated music in musical performance.

Syllabus

- Introductions
- How far can we push demarcation of data x AI?
- How much Data & AI reshape the existing industries?
- Using AI in real-world applications is much more than building an ML model
- What’s the state of the art of LMOps for Musicians
- Generating entire music is not the only way toward musical performance
- New breed of sound synthesis techniques are advancing usability of AI in music
- Neutron


Taught by

Open Data Science

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