Answer true/false for each of the following statements. i. Depth first search will find an optimal path with respect to the number of steps in the path. Breadth-first search is a special case of uniform cost search ML is a set of techniques that turns a dataset into a software. Regression is used for prediction. Depth first search will find an optimal path with respect to the cost of the path. Regression is used to discover casual relationship Is it possible to design a Linear regression algorithm using a neural network? Breadth first search will find an optimal path with respect to the number of steps in the path. Classification is used to predict continuous value. Breadth first search will find an optimal path with respect to the cost of the path. ii. ii. iv. v. vi. vii. viii. ix. х.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Answer true/false for each of the following statements.
i.
Depth first search will find an optimal path with respect to the number of steps in the path.
Breadth-first search is a special case of uniform cost search
ML is a set of techniques that turns a dataset into a software.
Regression is used for prediction.
v.
ii.
ii.
iv.
Depth first search will find an optimal path with respect to the cost of the path.
Regression is used to discover casual relationship
Is it possible to design a Linear regression algorithm using a neural network?
Breadth first search will find an optimal path with respect to the number of steps in the path.
Classification is used to predict continuous value.
Breadth first search will find an optimal path with respect to the cost of the path.
vi.
vii.
viii.
ix.
х.
Transcribed Image Text:Answer true/false for each of the following statements. i. Depth first search will find an optimal path with respect to the number of steps in the path. Breadth-first search is a special case of uniform cost search ML is a set of techniques that turns a dataset into a software. Regression is used for prediction. v. ii. ii. iv. Depth first search will find an optimal path with respect to the cost of the path. Regression is used to discover casual relationship Is it possible to design a Linear regression algorithm using a neural network? Breadth first search will find an optimal path with respect to the number of steps in the path. Classification is used to predict continuous value. Breadth first search will find an optimal path with respect to the cost of the path. vi. vii. viii. ix. х.
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