Login
Register
@
Dark Mode
Profile
Edit my Profile
Messages
My favorites
Register
Activity
Q&A
Questions
Unanswered
Tags
Subjects
Users
Ask
Previous Years
Blogs
New Blog
Exams
Dark Mode
Filter
Recent
Hot!
Most votes
Most answers
Most views
Previous GATE
Featured
Recent questions in Machine Learning
0
votes
0
answers
1
Memory Based GATE DA 2024 | Question: 36
In the context of K-Nearest Neighbors ($\mathrm{KNN}$), what is the minimum odd value of $\mathrm{K}$ such that the diamond ($\diamond$) shaped data point gets classified as ($\square$)?
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
159
views
gate2024-da-memory-based
goclasses
machine-learning
numerical-answers
0
votes
0
answers
2
Memory Based GATE DA 2024 | Question: 37
Consider the vectors: \[ \begin{aligned} & X_1=\begin{bmatrix} 1 \\ 0 \end{bmatrix}, \quad X_2=\begin{bmatrix} 0 \\ 1 \end{bmatrix}, \quad X_3=\begin{bmatrix} 0 \\ -1 \end{bmatrix}, \\ & X_4=\begin{bmatrix} -1 \\ 0 \end{bmatrix}, \ ... vectors? Select the correct option: $X_1, X_2, X_5$ $X_1, X_2, X_3, X_4, X_5, X_6$ $X_3, X_4$ $X_1, X_2, X_3, X_4$
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
107
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
3
Memory Based GATE DA 2024 | Question: 38
Consider a scenario with \(k\)-binary attributes for a two-class classification task using Naive Bayes. What is the total number of parameters needed? Choose the correct option: \(2k + 1\) \(2^k + 1\) \(2^{k+1} + 1\) \(k^2 + 1\)
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
139
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
4
Memory Based GATE DA 2024 | Question: 39
Match the following: ...
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
103
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
5
Memory Based GATE DA 2024 | Question: 45
Consider a k-means clustering scenario with two vectors already present in Cluster 3: \(\mathbf{v_1} = [1,1]\) and \(\mathbf{v_2} = [-1,1]\). Which of the following vectors is also likely to be in Cluster 3? \([0,0]\) \( [0,1]\) \([0,-2]\) \([0,2]\)
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
107
views
gate2024-da-memory-based
goclasses
machine-learning
1
vote
0
answers
6
Memory Based GATE DA 2024 | Question: 48
In adversarial search, the evaluation function assigns High and Low High and High Low and Low Low and High
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
77
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
7
Memory Based GATE DA 2024 | Question: 56
ML question: Given four plots in options. Asking that which of the following are linearly separable.
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
83
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
8
Memory Based GATE DA 2024 | Question: 59
ML question: Bayesian Network
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
60
views
gate2024-da-memory-based
goclasses
machine-learning
1
vote
0
answers
9
Memory Based GATE DA 2024 | Question: 61
ML Question: Given two Neural Networks involving weights. Asking for the values of p, q, r.
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
149
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
10
Memory Based GATE DA 2024 | Question: 62
Machine learning question based on Information Gain
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
70
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
11
Memory Based GATE DA 2024 | Question: 63
Fisher discriminant analysis \[ J(u) = \frac{u^{\top} s_B u}{u^{\top} s_w u} \]
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
69
views
gate2024-da-memory-based
goclasses
machine-learning
0
votes
0
answers
12
Memory Based GATE DA 2024 | Question: 65
Dendogram single linkage
GO Classes
asked
in
Machine Learning
Feb 4
by
GO Classes
70
views
gate2024-da-memory-based
goclasses
machine-learning
2
votes
2
answers
13
Classification | Neural Network | DA
Suppose we want to classify movie review text as (1) either positive or negative sentiment, and (2) either action, comedy, or romance movie genre. To perform these two related classification tasks, we use a neural network that shares ... Adding more layers to the neural network. Splitting the model into two with more overall parameters. Reduce the traning Data
rajveer43
asked
in
Machine Learning
Jan 29
by
rajveer43
297
views
machine-learning
artificial-intelligence
1
vote
2
answers
14
ML | DA | Multiclass Classification
Suppose a classifier predicts each possible class with equal probability. If there are 10 classes, what will the cross-entropy error be on a single example? $− log(10)$ $−0.1 log(1)$ $− log(0.1)$ $−10 log(0.1)$
rajveer43
asked
in
Machine Learning
Jan 29
by
rajveer43
180
views
machine-learning
probability
1
vote
1
answer
15
ML | NN | DA Practice
Suppose that you are training a neural network for classification, but you notice that the training loss is much lower than the validation loss. Which of the following can be used to address the issue (select all that apply)? Use a network with fewer layers Decrease dropout probability √ Increase $L2$ regularization weight Increase the size of each hidden layer
rajveer43
asked
in
Machine Learning
Jan 29
by
rajveer43
156
views
machine-learning
artificial-intelligence
probability
1
vote
1
answer
16
ML | DA | Classification
You encounter a classification task, and after training your network on 20 samples, the training converges, but the training loss is remarkably high. You decide to train the same network on 10,000 examples to address this issue. Is your approach to fixing ... of the model. D) No, a better approach would be to keep the same model architecture and increase the learning rate.
rajveer43
asked
in
Machine Learning
Jan 27
by
rajveer43
170
views
machine-learning
artificial-intelligence
probability
0
votes
1
answer
17
Neural Network | ML | DA Practice
You have a single hidden-layer neural network for a binary classification task. The input is \(X \in \mathbb{R}^{n \times m}\), output \(\hat{y} \in \mathbb{R}^{1 \times m}\), and true label \(y \in \mathbb{R}^{1 \times m}\). The forward propagation equations are: ... $\frac{\partial J}{\partial W^{[1]}} = (\hat{y} - y) \cdot \sigma'(z^{[1]}) \cdot X^T$
rajveer43
asked
in
Machine Learning
Jan 27
by
rajveer43
160
views
machine-learning
artificial-intelligence
statistics
0
votes
1
answer
18
ML | DA Practice | Regularization
In the pursuit of achieving weight sparsity in a neural network, which regularization method should be your go-to choice? Options: A) L1 regularization B) L2 regularization C) Both L1 and L2 regularization D) No regularization needed for weight sparsity
rajveer43
asked
in
Machine Learning
Jan 27
by
rajveer43
134
views
machine-learning
0
votes
1
answer
19
ML | DA Practice Questions
What is Error Analysis? (i) The process of analyzing the performance of a model through metrics such as precision, recall or F1-score. (ii) The process of scanning mis-classified examples to identify weaknesses of a model. (iii) The process ... to reduce the loss function during training. (iv) The process of identifying which parts of your model contributed to the error.
rajveer43
asked
in
Machine Learning
Jan 27
by
rajveer43
171
views
machine-learning
artificial-intelligence
statistics
probability
linear-algebra
1
vote
2
answers
20
AIMT-2 GATE DA 2024| ML Question for GATE | Wanshington Uni | Aug-23 Mid term test
Suppose we are performing leave-one-out (LOO) validation and $10$-fold cross validation on a dataset of size $100, 000$ to pick between $4$ different values of a single hyperparameter. How many times greater is the number of models that need to be trained for LOO validation versus $10$-fold cross validation? Answer:
rajveer43
asked
in
Machine Learning
Jan 16
by
rajveer43
382
views
machine-learning
artificial-intelligence
probability
Page:
1
2
3
next »
Subscribe to GATE CSE 2024 Test Series
Subscribe to GO Classes for GATE CSE 2024
Quick search syntax
tags
tag:apple
author
user:martin
title
title:apple
content
content:apple
exclude
-tag:apple
force match
+apple
views
views:100
score
score:10
answers
answers:2
is accepted
isaccepted:true
is closed
isclosed:true
Recent Posts
Post GATE 2024 Guidance [Counseling tips and resources]
GATE CSE 2024 Result Responses
[Project Contest] Pytorch backend support for MLCommons Cpp Inference implementation
Participating in MLCommons Inference v4.0 submission (deadline is February 23 12pm IST)
IIITH PGEE 2024 Test Series by GO Classes
Subjects
All categories
General Aptitude
(3.5k)
Engineering Mathematics
(10.4k)
Digital Logic
(3.6k)
Programming and DS
(6.2k)
Algorithms
(4.8k)
Theory of Computation
(6.9k)
Compiler Design
(2.5k)
Operating System
(5.2k)
Databases
(4.8k)
CO and Architecture
(4.0k)
Computer Networks
(4.9k)
Artificial Intelligence
(79)
Machine Learning
(48)
Data Mining and Warehousing
(25)
Non GATE
(1.4k)
Others
(2.7k)
Admissions
(684)
Exam Queries
(1.6k)
Tier 1 Placement Questions
(17)
Job Queries
(80)
Projects
(11)
Unknown Category
(870)
64.3k
questions
77.9k
answers
244k
comments
80.0k
users
Recent questions in Machine Learning
Recent Blog Comments
category ?
Hi @Arjun sir, I have obtained a score of 591 in ...
download here
Can you please tell about IIT-H mtech CSE self...
Please add your admission queries here:...
Network Sites
GO Mechanical
GO Electrical
GO Electronics
GO Civil
CSE Doubts
Aptitude Overflow