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Recent questions and answers in Machine Learning
0
votes
8
views
What is inductive machine learning?
answered
1 hour
ago
in
Machine Learning
by
anonymous
#inductive-machine-learining
0
votes
11
views
Which algorithm uses margin to classify the classes?
answered
4 hours
ago
in
Machine Learning
by
anonymous
#classify-classes
0
votes
12
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Why does one see the occurrence of overfitting?
answered
5 hours
ago
in
Machine Learning
by
anonymous
#overlifting-occurrence
0
votes
8
views
When to use group learning?
answered
5 hours
ago
in
Machine Learning
by
anonymous
#grou-learning
0
votes
2.4k
views
What is the name of the function that takes the input and maps it to the output variable called ?
answered
7 hours
ago
in
Machine Learning
by
anonymous
#datahandling
#machine-learning
#learning
#atificial-intelligence
#machine
0
votes
39
views
Cost function in linear regression is also called squared error function.
answered
1 day
ago
in
Machine Learning
by
anonymous
#machine-learning
#learning
#atificial-intelligence
#machine
+1
vote
10
views
What is a Development Learning Algorithm in the Group?
answered
1 day
ago
in
Machine Learning
by
anonymous
#development-learning
0
votes
12
views
Which algorithm uses sigmoid function?
answered
1 day
ago
in
Machine Learning
by
anonymous
#sigmoid-function
0
votes
6
views
What are two techniques of machine learning?
answered
2 days
ago
in
Machine Learning
by
anonymous
#machine-learning-techniques
0
votes
1
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What are the types of Machine Learning?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
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#machine-learning
0
votes
2
views
Differentiate between classification and regression in Machine Learning.
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning-classification
0
votes
2
views
What is Linear Regression in Machine learning?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#linear-regression
0
votes
1
view
How will you determine the Machine Learning algorithm that is suitable for your problem?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning-algorithm
0
votes
2
views
What are Bias and Variance?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#bias
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0
votes
1
view
What is Variance Inflation Factor?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#variance-inflation-factor
0
votes
1
view
Explain false negative, false positive, true negative, and true positive with a simple example.
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning-examples
0
votes
1
view
What is a Confusion Matrix?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#confusion-matrix
0
votes
1
view
What do you understand by Type I and Type II errors in machine learning?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning-types
0
votes
2
views
When should you use classification over regression?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#regression-classification
0
votes
2
views
Explain Logistic Regression.
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#logistic-regression
0
votes
1
view
Imagine, you are given a dataset consisting of variables having more than 30% missing values.
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning
0
votes
1
view
How do you handle the missing or corrupted data in a dataset?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#machine-learning-dataset
0
votes
2
views
Explain Principal Component Analysis (PCA).
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#principal-component-analysis
#pca
0
votes
1
view
Why rotation is required in PCA? What will happen if you don’t rotate the components?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#pca-rotation
0
votes
2
views
We know that one hot encoding increases the dimensionality of a dataset, but label encoding doesn’t. How?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#dataset-dimensionality
0
votes
1
view
How can you avoid overfitting?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
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1.3k
points)
#overlifting
0
votes
1
view
Why do we need a validation set and a test set?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#validation-dataset
0
votes
2
views
What is a Decision Tree?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#decision-tree
0
votes
1
view
Explain the difference between KNN and K-means Clustering.
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#knn
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0
votes
1
view
What is Dimensionality Reduction?
answered
3 days
ago
in
Machine Learning
by
Robindeniel
(
1.3k
points)
#dimensionality-reduction
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