An introductory course for students with no prior machine learning knowledge to explore and utilize different experimental machine learning methods such as image classification, pose estimation, body segmentation, pitch detection and k-nearest neighbors algorithm (KNN). Working with a variety of pre-trained models and techniques, students will code artistic, innovative and interactive projects for the web. Both practical and creative applications may be investigated as students will be encouraged to design their own experiences and solutions.