Question
In: Statistics and Probability
1.Is classification consider Supervised or Unsupervised Learning?Explain. 2.Suppose you are given the task of finding a...
1.Is classification consider Supervised or Unsupervised Learning?Explain.
2.Suppose you are given the task of finding a useful training dataset for a Classification problem you have been assigned.Suppose you find the features but dataset dose not include the labels.Briefly explain how you might label the data for the use Classification.
3.What does the sample() function in R do ?
Solutions
orchestra answered 2 years agoRelated Solutions
In each of the following cases, identify whether the task required is supervised or unsupervised learning,...
In each of the following cases, identify whether the task
required is supervised or unsupervised learning, and then identify
the appropriate technique—i.e., prediction, classification,
affinity or clustering analysis—that you would use. Assume that an
appropriate dataset is available for your algorithm to learn
from.
a. Deciding whether to issue a loan to an applicant based on
demographic and financial data using a database of similar data on
prior customers.
b. In an online bookstore, making recommendations to customers
concerning additional...
Explain the difference between supervised and unsupervised learning. Provide examples.
Explain the difference between supervised and unsupervised
learning. Provide examples.
Which of the following statements below is true about supervised/unsupervised machine learning? Unsupervised learning require labeled...
Which of the following statements below is true about
supervised/unsupervised machine learning?
Unsupervised learning require labeled data for training
Supervised learning require unlabeled data for training
Supervised learning require labeled data for training
Unsupervised learning require no supervision from human
Describe two supervised, semi-supervised and unsupervised learning methods and also give practical scenarios where these methods...
Describe two supervised, semi-supervised and unsupervised
learning methods and also give practical scenarios where these
methods are most appropriate.
MATLAB CODE FOR E xtreme learning machine using for classification task. image processing electrical. if you...
MATLAB CODE FOR
E xtreme learning machine using for
classification task.
image processing electrical.
if you know then try or leave for other
Task 1: a) Explain the meaning of taxation and various types of taxes and classification of...
Task 1:
a) Explain the meaning of taxation and various types of taxes
and classification of taxation. You must consider the UK rule while
explaining this question.
b) “Taxation is very much required for the economic
development of the country; to protect the environment and to
reduce the gap between rich and poor”
Using above, Illustrate and Critically evaluate the purpose of
taxation.
Task 1: a) Explain the meaning of taxation and various types of taxes and classification of...
Task 1:
a) Explain the meaning of taxation and various types of taxes
and classification of taxation. You must consider the UK rule while
explaining this question.
b) “Taxation is very much required for the economic
development of the country; to protect the environment and to
reduce the gap between rich and poor”
Using above, Illustrate and Critically evaluate the purpose of
taxation.
You have been given the task of finding out what proportion of students that enroll in...
You have been given the task of finding out what proportion of
students that enroll in a local university actually complete their
degree. You have access to first year enrolment records and you
decide to randomly sample 115 of those records. You find that 87 of
those sampled went on to complete their degree.
a)Calculate the proportion of sampled students that complete
their degree. Give your answer as a decimal to 3 decimal
places.
Sample proportion =
You decide to...
You have been given the task of finding out what proportion of students that enroll in...
You have been given the task of finding out what proportion of
students that enroll in a local university actually complete their
degree. You have access to first year enrolment records and you
decide to randomly sample 111 of those records. You find that 80 of
those sampled went on to complete their degree. a)Calculate the
proportion of sampled students that complete their degree. Give
your answer as a decimal to 3 decimal places. Sample proportion
=
You decide to...
Explain the classification of traits given by Allport.
Write the three classification of traits given by Allport. Explain it.
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