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Artificial intelligence and data structures MAIN LAB MANUALS FULL CLEAR PG
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Artificial intelligence and data structures MAIN LAB MANUALS FULL CLEAR PG
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Artificial intelligence and data structuresMAIN LAB MANUALS FULL CLEAR
PG
Heap Property -<<<ANSWER>>> Binary heap structure
with parent-child relationship rules.
Max-Heap -<<<ANSWER>>> Parent node is greater than
or equal to children.
Min-Heap -<<<ANSWER>>> Parent node is less than or
equal to children.
Heap Representation -<<<ANSWER>>> Heaps stored as
arrays using indices for nodes.
Priority Queue -<<<ANSWER>>> Data structure
retrieving elements by priority order.
, Heapsort -<<<ANSWER>>> Efficient sorting algorithm
using heap data structure.
Universal Quantifier (∀) -<<<ANSWER>>> Indicates
'for all' elements in a domain.
Existential Quantifier (∃) -<<<ANSWER>>> Indicates
'there exists' at least one element.
Training Set -<<<ANSWER>>> Data used to train
machine learning models.
Test Set -<<<ANSWER>>> Data used to evaluate model
performance.
Regression -<<<ANSWER>>> Predicts continuous
outcomes like prices.
Classification -<<<ANSWER>>> Predicts discrete
outcomes like spam detection.
Supervised Learning -<<<ANSWER>>> Learning from
labeled input-output data.
ML Bias -<<<ANSWER>>> Systematic error from
algorithm assumptions.
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