Ce que vous devez savoir avant
Vous commencez

Débute 4 June 2026 03:00

Se termine 4 June 2026

00 Jours
00 Heures
00 Minutes
00 Secondes
course image

Machine Learning for Musicians and Artists

Plongez dans le monde captivant de la technologie et de l'art avec notre cours "Apprentissage automatique pour musiciens et artistes", proposé par Kadenze. Ce cours innovant est conçu pour les créatifs désireux d'explorer l'intersection de l'apprentissage automatique et des arts, incluant la musique, la danse et les arts visuels. Que vous rêviez de.
via Kadenze

8 Cours


Non spécifié

Amélioration optionnelle disponible

Tous niveaux

Progressez à votre rythme

Free

Amélioration optionnelle disponible

Aperçu

Immerse yourself in the captivating world of technology and art with our "Machine Learning for Musicians and Artists" course, offered by Kadenze. This innovative course is designed for creatives eager to explore the intersection of machine learning and the arts, including music, dance, and visual arts.

Whether you dream of crafting a new musical instrument that responds to your movements, creating dynamic visuals for performances, or developing interactive art installations that engage with audience actions, this course will equip you with the essential machine learning skills to bring your artistic visions to life.

Participants will dive into the core machine learning techniques vital for interpreting human gestures, musical audio, and other real-time data. The curriculum emphasizes practical knowledge, covering algorithms, software tools, and best practices to create responsive real-time systems.

Discover the fundamentals of machine learning, explore various types aimed at understanding human actions and sensor data, and learn to navigate the "machine learning pipeline" for effective analysis.

The course offers a deep dive into:

  • What machine learning entails
  • Different machine learning approaches including classification, regression, and segmentation for analyzing human actions and sensor data
  • Comprehensive guide to configuring the machine learning pipeline for optimal results
  • An overview of accessible machine learning tools such as Wekinator, Weka, and GestureFollower
  • Feature extraction and analysis techniques tailored for creative domains like music, dance, and the visual arts
  • Integrating machine learning with popular digital arts tools (Max/MSP, PD, ChucK, Processing, Unity 3D, SuperCollider, OpenFrameworks)
  • An introduction to affordable and user-friendly sensing technologies for machine learning inputs (Kinect, computer vision, hardware sensors, gaming controllers)

Dive into the intersection of machine learning and the arts with this course, categorized under Artificial Intelligence Courses and Machine Learning Courses, and unleash the potential of your creative projects through innovative technology.


Enseigné par

Rebecca Fiebrink


Matières