MLOps for Musicians - Akira Shibata
Offered By: Open Data Science via YouTube
Course Description
Overview
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
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera