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Answers by rajeshsharma
0
votes
What is the primary advantage of using a deep learning architecture for machine learning tasks?
answered
Jul 8, 2024
in
Machine Learning
deep
learning
architecture
0
votes
Which evaluation metric is commonly used for binary classification problems and measures the proportion of true positive predictions among all positive examples?
answered
Jul 8, 2024
in
Machine Learning
binary
classification
problems
0
votes
In machine learning, an ensemble model combines the predictions of multiple individual models to:
answered
Jul 8, 2024
in
Machine Learning
predictions
multiple
individual
models
0
votes
What is the main purpose of cross-validation in machine learning?
answered
Jul 8, 2024
in
Machine Learning
cross-validation
in
machine
learning
0
votes
Which machine learning technique allows models to make decisions based on past experiences and feedback from their environment?
answered
Jul 8, 2024
in
Machine Learning
machine
learning
technique
0
votes
What is the primary drawback of the k-nearest neighbors (k-NN) algorithm?
answered
Jul 8, 2024
in
Machine Learning
k-nearest
neighbors
k-nn
algorithm
0
votes
Which machine learning algorithm is used for both regression and classification tasks and is based on averaging the predictions of multiple weak learners?
answered
Jul 8, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
What is the primary objective of the k-means clustering algorithm?
answered
Jul 2, 2024
in
Machine Learning
k-means
clustering
algorithm
0
votes
Which machine learning algorithm is commonly used for classification tasks and is based on finding the best hyperplane that separates data points into different classes?
answered
Jul 2, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
What is the name of the technique used to deal with overfitting in machine learning models?
answered
Jul 2, 2024
in
Machine Learning
overfitting
machine
learning
models
0
votes
The loss function in a machine learning model measures:
answered
Jul 2, 2024
in
Machine Learning
machine
learning
model
measures
0
votes
What is the process of feeding a machine learning model with data to adjust its internal parameters and improve performance?
answered
Jul 2, 2024
in
Machine Learning
machine
learning
model
0
votes
Which machine learning algorithm is inspired by the behavior of neurons in the human brain?
answered
Jul 2, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
In unsupervised learning, the primary task is:
answered
Jul 2, 2024
in
Machine Learning
unsupervised
learning
0
votes
What is the process of preparing raw data by cleaning, transforming, and normalizing it for machine learning?
answered
Jul 2, 2024
in
Machine Learning
cleaning
transforming
and
normalizing
imachine
learning
0
votes
Which type of machine learning algorithm is trained on labeled data to make predictions on new, unseen data?
answered
Jul 2, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
What is the main goal of machine learning?
answered
Jul 2, 2024
in
Machine Learning
machine
learning
0
votes
What is the difference between a Perceptron and Logistic Regression in Digital learning?
answered
Jun 27, 2024
in
Data Handling
#digital-learning
datahandling-questions-answers
0
votes
How do you optimize an ETL pipeline?
answered
Jun 23, 2024
in
Data Analytics
etl
pipeline
0
votes
What is Apache Kafka?
answered
Jun 23, 2024
in
Data Analytics
apache
kafka
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