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Recent questions in Machine Learning
+4
votes
1
answer
Supervised learning and unsupervised clustering both require which is correct according to the statement.
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
supervised-learning
+4
votes
1
answer
Which of the following techniques would perform better for reducing dimensions of a data set?
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
PCA is in machine learning
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
pca
+4
votes
1
answer
A feature F1 can take certain value: A, B, C, D, E, & F and represents grade of students from a college. Here feature type is
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
The output of training process in machine learning is
asked
Dec 6, 2022
in
Machine Learning
by
sharadyadav1986
machine-learnring
+4
votes
1
answer
Following is powerful distance metrics used by Geometric model
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
matrix
machine-learning
+3
votes
1
answer
Type of matrix decomposition model is
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
matrix-decomposition
+4
votes
1
answer
Following are the types of supervised learning
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
supervised-learning
+4
votes
1
answer
Which of the following is a good test dataset characteristic?
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+5
votes
1
answer
You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
Dimensionality Reduction Algorithms are one of the possible ways to reduce the computation time required to build a model
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
reduction-algorithms
+4
votes
1
answer
Of the Following Examples, Which would you address using an supervised learning Algorithm?
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+3
votes
1
answer
The problem of finding hidden structure in unlabeled data is called…
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
structure
machine-learning
+4
votes
1
answer
Data used to build a data mining model.
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
mining-model
+4
votes
1
answer
What does dimensionality reduction reduce?
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
What characterize unlabeled examples in machine learning
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
Which of the following is the best machine learning method?
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learining
+3
votes
1
answer
PCA can be used for projecting and visualizing data in lower dimensions.
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
pca
+3
votes
1
answer
In PCA the number of input dimensiona are equal to principal components
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
pca
machine-leanring
+4
votes
1
answer
In following type of feature selection method we start with empty feature set
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
In what type of learning labelled training data is used
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
If machine learning model output involves target variable then that model is called as
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+4
votes
1
answer
Application of machine learning methods to large databases is called
asked
Dec 5, 2022
in
Machine Learning
by
sharadyadav1986
machine-learning
+2
votes
0
answers
Data points have positive residual
asked
Oct 26, 2022
in
Machine Learning
by
Robin
positive-residual
machine-learning
+3
votes
0
answers
We can compute the coefficient of linear regression by using
asked
Oct 26, 2022
in
Machine Learning
by
Robin
machine-learning
linear-regression
+3
votes
0
answers
In which of the following cases will K-means clustering fail to give good results?
asked
Oct 26, 2022
in
Machine Learning
by
Robin
machine
learning
k-means
clustering
+3
votes
0
answers
What is a sentence parser typically used for?
asked
Oct 26, 2022
in
Machine Learning
by
Robin
machine-learning
+5
votes
1
answer
Which of the following techniques can not be used for normalization in text mining?
asked
Oct 26, 2022
in
Machine Learning
by
Robin
machine-learning
normalization
+3
votes
0
answers
Which of the following are ML methods?
asked
Oct 26, 2022
in
Machine Learning
by
Robin
machine-learning
+2
votes
0
answers
Which of the following is not a supervised learning?
asked
Oct 26, 2022
in
Machine Learning
by
Robin
supervised-learning
machine-learning
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