Abstract: Provided is a method performed by a computing system for detecting an outlier. The method comprises estimating a first distribution for a given sample set, estimating a second distribution for a target sample, and calculating an outlier score of the target sample for the given sample set based on a difference between the first distribution and the second distribution.

Abstract: A system for scheduling machine learning jobs includes a user interface provision unit to transmit, to a user terminal, data for forming an input interface to receive job information including information indicative of a checkpoint file of a model to be executed and require resource information, a resource management unit to manage a job queue, wherein each item of the job queue includes the job information and annotation including an expected execution time, complement for an item in which the expected execution time is not recorded in the annotation by receiving the expected execution time from an execution time expectation unit, and execute job scheduling using the job information of each item of the job queue, and an execution time expectation unit to calculate memory usage necessary for executing the model using information of the checkpoint file and determine the expected execution time of the model, using the memory usage.