2. ML Landscape Flashcards
what is the difference between narrow AI & general AI/ artificial general intelligence
narrow AI = theory & development of computer systems that perform tasks to augment human intelligence
general AI = full autonomy
what is a canonical AI architecture
data collection (structured/unstructured) –> data conditioning –> algorithms –> CoA by human/machine team –> users
what is ml
the study of algos to improve their performance at some task & optimise performance based on example data or past experience
what is the difference between ml and traditional programming
ml finds a pattern between data & output rather than it being defined
what is AIGC
ai generated content
what are examples of data in healthcare
emr vitals, emr physician notes, radiographs
what are the two types of data
structured & unstructured
easily stored vs text, images, signal, video
typical structured data for hc
diagnosis e.g. target
other info from clinic e.g. features
typical hc unstructured data
biomedical signal
clinical text
what can be done about overfitting
- less params
- less features
- early stopping
- regularisation
- dropout
what is dropout in ML
what are the different types of learning
- supervised
- unsupervised
- reinforcement
