
AI/ML
A system is said to be artificially intelligent if it does “smart†things, that are typically associated with humans. Conventional computer science consisted of creating algorithms that could solve problems unambiguously, in a step-by-step manner, like sorting a list. In AI, the tasks do not typically admit a step-by-step solution, such as face recognition, self-driving cars, etc. This involves AI algorithms that learn patterns from data, to perform inference on new data. For example, given a lot of photographs labeled as of person A or not of person A, machine learning involves developing algorithms which when given a new photo can identify whether it is of person A or not.
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