Home
Recent Q&A
Java
Cloud
JavaScript
Python
SQL
PHP
HTML
C++
Data Science
DBMS
Devops
Hadoop
Machine Learning
Azure
Blockchain
Devops
Ask a Question
What is the process of subtracting the mean of each variable from its variable called ?
Home
Machine Learning
What is the process of subtracting the mean of each variable from its variable called ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
What is the process of subtracting the mean of each variable from its variable called ?
#machine-learning
#learning
#atificial-intelligence
#machine
#datahandling
Machine-Learning-questions-answers
Please
log in
or
register
to answer this question.
1
Answer
0
votes
answered
May 29, 2019
by
rajeshsharma
(
23.9k
points)
Mean Normalization
is the process of subtracting the mean of each variable from its variable called
Related questions
+2
votes
Q: What is the name of the function that takes the input and maps it to the output variable called ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#datahandling
#machine-learning
#learning
#atificial-intelligence
#machine
Machine-Learning-questions-answers
+1
vote
Q: What is the process of dividing each feature by its range called ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+2
votes
Q: Problems that predict real values outputs are called ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#datahandling
#learning
#machine-learning
#atificial-intelligence
#machine
Machine-Learning-questions-answers
+1
vote
Q: What is the Learning Technique in which the right answer is given for each example in the data called ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#atificial-intelligence
#machine
#learning
Machine-Learning-questions-answers
+1
vote
Q: The result of scaling is a variable in the range of [1 , 10].
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+1
vote
Q: Cost function in linear regression is also called squared error function.
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#learning
#atificial-intelligence
#machine
Machine-Learning-questions-answers
+1
vote
Q: How are the parameters updates during Gradient Descent Process ?
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#learning
#atificial-intelligence
#machine
Machine-Learning-questions-answers
+1
vote
Q: For different parameters of the hypothesis function we get the same hypothesis function.
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine
#learning
#atificial-intelligence
#machine-learning
Machine-Learning-questions-answers
+1
vote
Q: The objective function for linear regression is also known as Cost Function.
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+1
vote
Q: ____________ controls the magnitude of a step taken during Gradient Descent .
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+1
vote
Q: Output variables are known as Feature Variables .
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+1
vote
Q: Input variables are also known as feature variables.
asked
May 29, 2019
in
Machine Learning
by
param1987
(
187
points)
#machine-learning
#machine
#learning
#atificial-intelligence
Machine-Learning-questions-answers
+1
vote
Q: Ignoring missing values from your dataset is an easier and correct approach than updating the dataset with mean / median values
asked
Feb 10, 2020
in
Data Science
by
miceperry
(
775
points)
#machine-learning
#datahandling
+2
votes
Q: There is no exact formula for calculating the number of hidden layers, as well as the number of neurons in each hidden layer.
asked
Jun 19, 2020
in
Machine Learning
by
JackTerrance
(
2.7k
points)
#machine-learning
Machine-Learning-questions-answers
+1
vote
Q: Explain about from the regularization is and why it is useful?
asked
Nov 28, 2019
in
Machine Learning
by
sharadyadav1986
(
31.6k
points)
#machine-learning
Machine-Learning-questions-answers
...
