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Answers by rajeshsharma
0
votes
What do you mean by Flow in Mule?
answered
Jul 14, 2024
in
Mulesoft
flow
mule
0
votes
What are the flow processing strategies and their types?
answered
Jul 14, 2024
in
Mulesoft
flow
processing
strategies
0
votes
How can code in MuleSoft be optimized for memory efficiency?
answered
Jul 14, 2024
in
Mulesoft
optimized
memory
efficiency
0
votes
Discuss how XGBoost can handle highly imbalanced datasets.
answered
Jul 11, 2024
in
XGBoost
imbalanced
datasets
0
votes
How does the objective function affect the performance of the XGBoost model?
answered
Jul 11, 2024
in
XGBoost
xgboost
model
0
votes
What is early stopping in XGBoost and how can it be implemented?
answered
Jul 11, 2024
in
XGBoost
xgboost
0
votes
Discuss how to manage the trade-off between learning rate and n_estimators in XGBoost.
answered
Jul 11, 2024
in
XGBoost
n_estimators
xgboost
0
votes
Explain the importance of the 'max_depth' parameter in XGBoost.
answered
Jul 11, 2024
in
XGBoost
xgboost
0
votes
What are the core parameters in XGBoost that you often consider tuning?
answered
Jul 11, 2024
in
XGBoost
xgboost
consider
tuning
0
votes
Describe the role of shrinkage (learning rate) in XGBoost.
answered
Jul 11, 2024
in
XGBoost
shrinkage
learning
rate
xgboost
0
votes
How does XGBoost use tree pruning and why is it important?
answered
Jul 11, 2024
in
XGBoost
xgboost
tree
pruning
0
votes
What are the loss functions used in XGBoost for regression and classification problems?
answered
Jul 11, 2024
in
XGBoost
xgboost
regression
classification
problems
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?
answered
Jul 8, 2024
in
Machine Learning
context
neural
networks
0
votes
Which machine learning algorithm is particularly well-suited for dealing with textual data and is based on probability theory?
answered
Jul 8, 2024
in
Machine Learning
machine
learning
algorithm
0
votes
Which technique is used for handling missing data in machine learning datasets?
answered
Jul 8, 2024
in
Machine Learning
machine
learning
datasets
0
votes
What is the primary objective of the term “bias” in machine learning?
answered
Jul 8, 2024
in
Machine Learning
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?
answered
Jul 8, 2024
in
Machine Learning
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?
answered
Jul 8, 2024
in
Machine Learning
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?
answered
Jul 8, 2024
in
Machine Learning
neural
network
architecture
0
votes
Which technique is used for reducing the dimensionality of data while preserving its most important features?
answered
Jul 8, 2024
in
Machine Learning
data
preserving
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