18C5T13 Study Guide - Final Guide: Jaccard Index, Density Estimation, Malware
11 Aug 2021
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Unit -i:the ingredients of machine learning, tasks: the problems that can be solved with machine learning, models: the output of machine learning, features, the workhorses of machine learning. Binary classification and related tasks: classification, scoring and ranking, class probability estimation. , typically supervised, semi-supervised or reinforcement learning learning, typically supervised, semi construction of ranking models for been recently used as a measure for ranking per- formance of learning algorithms. been recently used as a measure for algorithms. Auc (area under the curve) of roc (re- ceiver operating characteristics) has. Auc (area under the curve) of roc (re ceiver operating characteristics) has models for information retrieval systems. (mlr) is the application of machine reinforcement learning, in the. Machine learning is the systematic study of algorithms and systems that improve their knowledge. Learning = improving with experience with some task t. Improve over task t with respect to performance measure p based on experience e or performance with experience.
