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Machine Learning Interview Questions and Answers
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Questions
Machine Learning
0
votes
What is the primary purpose of a validation set in the context of model training?
asked
Jul 10
in
Machine Learning
by
SakshiSharma
context
model
training
0
votes
What is the primary advantage of using gradient boosting algorithms like XGBoost or LightGBM?
asked
Jul 10
in
Machine Learning
by
SakshiSharma
xgboost
lightgbm
0
votes
Which machine learning algorithm is designed to handle sequential data and has been widely used in speech recognition and natural language processing?
asked
Jul 10
in
Machine Learning
by
SakshiSharma
speech
recognition
natural
language
processing
0
votes
Which technique is used for reducing the variance of a machine learning model by combining predictions from multiple models?
asked
Jul 10
in
Machine Learning
by
SakshiSharma
machine
learning
model
0
votes
Which method is used for reducing the learning rate during the training of neural networks to avoid overshooting the optimal weights?
asked
Jul 10
in
Machine Learning
by
SakshiSharma
neural
networks
0
votes
In the context of neural networks, what is the term for the process of updating the model’s weights to minimize the error during training?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
context
neural
networks
0
votes
Which machine learning algorithm is particularly well-suited for dealing with textual data and is based on probability theory?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
machine
learning
algorithm
0
votes
Which technique is used for handling missing data in machine learning datasets?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
machine
learning
datasets
0
votes
What is the primary objective of the term “bias” in machine learning?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
bias
machine
learning
0
votes
In reinforcement learning, what is the function that estimates the expected future reward given a specific state and action pair?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
reinforcement
learning
0
votes
Which approach is used for handling imbalanced datasets in classification tasks, where one class has significantly fewer samples than the others?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
handling
imbalanced
datasets
0
votes
Which type of neural network architecture is used for sequence data, such as natural language processing and time series analysis?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
neural
network
architecture
0
votes
Which technique is used for reducing the dimensionality of data while preserving its most important features?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
data
preserving
0
votes
What is the primary advantage of using a deep learning architecture for machine learning tasks?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
binary
classification
problems
0
votes
In machine learning, an ensemble model combines the predictions of multiple individual models to:
asked
Jul 8
in
Machine Learning
by
rajeshsharma
predictions
multiple
individual
models
0
votes
What is the main purpose of cross-validation in machine learning?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
machine
learning
technique
0
votes
What is the primary drawback of the k-nearest neighbors (k-NN) algorithm?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 8
in
Machine Learning
by
rajeshsharma
machine
learning
algorithm
0
votes
What is the primary objective of the k-means clustering algorithm?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
machine
learning
algorithm
0
votes
What is the name of the technique used to deal with overfitting in machine learning models?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
overfitting
machine
learning
models
0
votes
The loss function in a machine learning model measures:
asked
Jul 2
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
machine
learning
model
0
votes
Which machine learning algorithm is inspired by the behavior of neurons in the human brain?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
machine
learning
algorithm
0
votes
In unsupervised learning, the primary task is:
asked
Jul 2
in
Machine Learning
by
rajeshsharma
unsupervised
learning
0
votes
What is the process of preparing raw data by cleaning, transforming, and normalizing it for machine learning?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
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?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
machine
learning
algorithm
0
votes
What is the main goal of machine learning?
asked
Jul 2
in
Machine Learning
by
rajeshsharma
machine
learning
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