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This playlist provides an introduction to developing creative coding projects with machine learning. The theory and application of machine learning algorithms is demonstrated in JavaScript using the p5.js and ml5.js libraries. Learning Objectives: Develop an intuition for and high level understanding of core machine learning concepts and algorithms, including supervised learning, unsupervised learning, reinforcement learning, transfer learning, classification, and regression. Be able to apply machine learning algorithms to real-time interaction in media art projects using pre-trained models and “transfer learning” in JavaScript and related tools. Learn how to collect a custom dataset to train a machine learning model and Understand how to use a machine learning model to generate media: words, sound, and images. Code: https://thecodingtrain.com/tracks/ml5... 🎥 Next: • A Beginner's Guide to Machine Learning wit... 🎥 All: • Beginners Guide to Machine Learning in Jav... References: 💻 ml5.js: https://ml5js.org/ 📕 Intelligence and Learning Class: https://github.com/nature-of-code/NOC... Videos: 🚂 • Start learning here! Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/pas... 🚩 Suggest Topics: https://github.com/CodingTrain/Sugges... 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: / thecodingtrain 📸 Instagram: / the.coding.train 🎥 • Coding Challenges 🎥 • Start learning here! 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org 📄 Code of Conduct: https://github.com/CodingTrain/Code-o... This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecod... #machinelearningml #ml5js #p5js #ml5js