Which one of the following statements describes an unsupervised learning problem? A machine learning where we predict a categorical variable as a function of Press both continuous and categorical variables. A machine learning problem where we seek to understand whether observations fit into distinct groups based on their similarities. Press A machine learning problem where we fit a model a response variable as a function of a set of predictor variables. Press A machine learning problem that deals with the importing and cleaning of a dataset, such that it is tidy. Press

Which one of the following statements describes an unsupervised learning problem? A machine learning where we predict a categorical variable as a function of Press both continuous and categorical variables. A machine learning problem where we seek to understand whether observations fit into distinct groups based on their similarities. Press A machine learning problem where we fit a model a response variable as a function of a set of predictor variables. Press A machine learning problem that deals with the importing and cleaning of a dataset, such that it is tidy. Press

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

Problem 1PE

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In the context of supervised learning, which of the following assertions is not accurate? * a) It is a kind of machine learning known as reinforcement learning; b) It does not need any response variable at all; and c) It includes classification, a type of supervised learning that is included in this category. d) None of the choices presented before it
In the context of supervised learning, which of the following statements is not accurate? a) It is a specific category of machine learning b) It doesn't need any response variable at all c) An example of unsupervised learning that involves classification d) None of the options presented
Inductive learning involves finding a hypothesis that agrees well with the examples.Ockham’s razor suggests choosing the simplest consistent hypothesis. The difficultyof this task depends on the chosen representation.(True/False)
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