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Machine learning is typically broken up into 4 types: supervised, unsupervised, semi-supervised, and reinforcement learning. But is this all? In this video, start by defining artificial intelligence, machine learning, and deep learning. We then cover the 14 tasks and types of machine learning including: supervised learning, unsupervised learning, semi-supervised, reinforcement learning, self-supervised, multi-instance learning, inductive learning, deductive learning, transductive learning, multi-task learning, active learning, online learning, transfer learning, and ensemble learning. 0:00 AI vs ML vs deep learning 3:45 4 basic types of ML 9:15 unsupervised learning 12:41 reinforcement learning 16:38 semi-supervised learning 18:34 self-supervised learning 20:35 multi-instance learning 22:30 inductive vs deductive vs transductive inference 27:20 multi-task learning 29:37 active learning 33:45 online learning 37:46 transfer learning 39:50 ensemble learning Check out the whole materials informatics series at • Materials Informatics with workbooks and course notes available at https://github.com/sp8rks/MaterialsIn...