Home
Recent Q&A
Java
Cloud
JavaScript
Python
SQL
PHP
HTML
C++
Data Science
DBMS
Devops
Hadoop
Machine Learning
Azure
Blockchain
Devops
Ask a Question
Hot questions
Home
Hot! Questions
0
votes
What is early stopping in XGBoost and how can it be implemented?
asked
Jul 11
in
XGBoost
by
rajeshsharma
xgboost
0
votes
Discuss how to manage the trade-off between learning rate and n_estimators in XGBoost.
asked
Jul 11
in
XGBoost
by
rajeshsharma
n_estimators
xgboost
0
votes
What are the loss functions used in XGBoost for regression and classification problems?
asked
Jul 11
in
XGBoost
by
rajeshsharma
xgboost
regression
classification
problems
0
votes
Which of the following is the best way to update an S3 notification configuration when a ion needs to be referred by an S3 bucket after new objects are created in the bucket?
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
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 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
Describe the role of shrinkage (learning rate) in XGBoost.
asked
Jul 11
in
XGBoost
by
rajeshsharma
shrinkage
learning
rate
xgboost
0
votes
What are the core parameters in XGBoost that you often consider tuning?
asked
Jul 11
in
XGBoost
by
rajeshsharma
xgboost
consider
tuning
0
votes
You are working on a mobile application that will be using AWS ElastiCache for caching application data to reduce latency & improve throughput.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
Discuss how XGBoost can handle highly imbalanced datasets.
asked
Jul 11
in
XGBoost
by
rajeshsharma
imbalanced
datasets
0
votes
How does the objective function affect the performance of the XGBoost model?
asked
Jul 11
in
XGBoost
by
rajeshsharma
xgboost
model
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
A company is writing a Lambda function that will run in multiple stages, such a dev, test, and production.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
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
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
A developer has recently deployed an AWS Lambda function that computes a Fibonacci sequence using recursive Lambda invocations.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
You are working on a new project involving the creation of Lambda functions for a Serverless Web Application.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
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
A developer working on an AWS CodeBuild project wants to override a build command as part of a build run to test a change.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
A Developer is migrating an on-premises web application to the AWS Cloud. The application currently runs on a 32-processor server and stores session state in memory.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
Page:
« prev
1
...
45
46
47
48
49
50
51
52
53
54
55
...
1000
next »
...
