1. What is the difference between supervised learning and unsupervised learn- ing? 2. Given a task to recognize handwritten digits, is it a supervised learning or unsupervised learning? 3. What is the different between a regression problem and a classification problem? Is face detection problem a regression or classification problem?

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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Questions to Answer
1. What is the difference between supervised learning and unsupervised learn-
ing?
2. Given a task to recognize handwritten digits, is it a supervised learning
or unsupervised learning?
3. What is the different between a regression problem and a classification
problem? Is face detection problem a regression or classification problem?
4. Terminologies
(a) Enumerate three different terms used to name input X in machine
learning?
(b) Enumerate three different terms used to name output in machine
learning?
5. In the estimation of model f by applying a learning method to the training
data, we can use parametric methods. Can you elaborate on the advantage
and disadvantage of parametric methods?
Transcribed Image Text:Questions to Answer 1. What is the difference between supervised learning and unsupervised learn- ing? 2. Given a task to recognize handwritten digits, is it a supervised learning or unsupervised learning? 3. What is the different between a regression problem and a classification problem? Is face detection problem a regression or classification problem? 4. Terminologies (a) Enumerate three different terms used to name input X in machine learning? (b) Enumerate three different terms used to name output in machine learning? 5. In the estimation of model f by applying a learning method to the training data, we can use parametric methods. Can you elaborate on the advantage and disadvantage of parametric methods?
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