Digital Spets: On-Device Machine Learning for Apple and Android devices.

Content The student learns to collect, clean and shape training data for machine learning, and to use training and test data to create working models with CoreML for Apple devices and with MLKit for Android devices. The student also learns to use ready-made models, and to adapt and retrain models for new purposes. Goals Knowledge Explain the differences between supervised and unsupervised learning techniques. Explain the differences between probabilistic and non-probabilistic methods. Skills Train and compare machine learning models. Reuse and adapt machine learning models for new purposes. Train, compare and evaluate machine learning models. Competences Choose the right machine learning model for the right purpose. Train and implement suitable machine learning models in apps.