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0
votes
1
answer
Describe the role of shrinkage (learning rate) in XGBoost.
asked
Jul 11, 2024
in
XGBoost
shrinkage
learning
rate
xgboost
0
votes
1
answer
How does XGBoost use tree pruning and why is it important?
asked
Jul 11, 2024
in
XGBoost
xgboost
tree
pruning
0
votes
1
answer
What are the loss functions used in XGBoost for regression and classification problems?
asked
Jul 11, 2024
in
XGBoost
xgboost
regression
classification
problems
0
votes
1
answer
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, 2024
in
Machine Learning
context
neural
networks
0
votes
1
answer
Which machine learning algorithm is particularly well-suited for dealing with textual data and is based on probability theory?
asked
Jul 8, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
1
answer
Which technique is used for handling missing data in machine learning datasets?
asked
Jul 8, 2024
in
Machine Learning
machine
learning
datasets
0
votes
1
answer
What is the primary objective of the term “bias” in machine learning?
asked
Jul 8, 2024
in
Machine Learning
bias
machine
learning
0
votes
1
answer
In reinforcement learning, what is the function that estimates the expected future reward given a specific state and action pair?
asked
Jul 8, 2024
in
Machine Learning
reinforcement
learning
0
votes
1
answer
Which approach is used for handling imbalanced datasets in classification tasks, where one class has significantly fewer samples than the others?
asked
Jul 8, 2024
in
Machine Learning
handling
imbalanced
datasets
0
votes
1
answer
Which type of neural network architecture is used for sequence data, such as natural language processing and time series analysis?
asked
Jul 8, 2024
in
Machine Learning
neural
network
architecture
0
votes
1
answer
Which technique is used for reducing the dimensionality of data while preserving its most important features?
asked
Jul 8, 2024
in
Machine Learning
data
preserving
0
votes
1
answer
What is the primary advantage of using a deep learning architecture for machine learning tasks?
asked
Jul 8, 2024
in
Machine Learning
deep
learning
architecture
0
votes
1
answer
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, 2024
in
Machine Learning
binary
classification
problems
0
votes
1
answer
In machine learning, an ensemble model combines the predictions of multiple individual models to:
asked
Jul 8, 2024
in
Machine Learning
predictions
multiple
individual
models
0
votes
1
answer
What is the main purpose of cross-validation in machine learning?
asked
Jul 8, 2024
in
Machine Learning
cross-validation
in
machine
learning
0
votes
1
answer
Which machine learning technique allows models to make decisions based on past experiences and feedback from their environment?
asked
Jul 8, 2024
in
Machine Learning
machine
learning
technique
0
votes
1
answer
What is the primary drawback of the k-nearest neighbors (k-NN) algorithm?
asked
Jul 8, 2024
in
Machine Learning
k-nearest
neighbors
k-nn
algorithm
0
votes
1
answer
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, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
1
answer
What is the primary objective of the k-means clustering algorithm?
asked
Jul 2, 2024
in
Machine Learning
k-means
clustering
algorithm
0
votes
1
answer
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, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
1
answer
What is the name of the technique used to deal with overfitting in machine learning models?
asked
Jul 2, 2024
in
Machine Learning
overfitting
machine
learning
models
0
votes
1
answer
The loss function in a machine learning model measures:
asked
Jul 2, 2024
in
Machine Learning
machine
learning
model
measures
0
votes
1
answer
What is the process of feeding a machine learning model with data to adjust its internal parameters and improve performance?
asked
Jul 2, 2024
in
Machine Learning
machine
learning
model
0
votes
1
answer
Which machine learning algorithm is inspired by the behavior of neurons in the human brain?
asked
Jul 2, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
1
answer
In unsupervised learning, the primary task is:
asked
Jul 2, 2024
in
Machine Learning
unsupervised
learning
0
votes
1
answer
What is the process of preparing raw data by cleaning, transforming, and normalizing it for machine learning?
asked
Jul 2, 2024
in
Machine Learning
cleaning
transforming
and
normalizing
imachine
learning
0
votes
1
answer
Which type of machine learning algorithm is trained on labeled data to make predictions on new, unseen data?
asked
Jul 2, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
1
answer
What is the main goal of machine learning?
asked
Jul 2, 2024
in
Machine Learning
machine
learning
0
votes
1
answer
How do you optimize an ETL pipeline?
asked
Jun 23, 2024
in
Data Analytics
etl
pipeline
0
votes
1
answer
What is Apache Kafka?
asked
Jun 23, 2024
in
Data Analytics
apache
kafka
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