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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
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
A developer is building an application that needs access to an S3 bucket. An IAM role is created with the required permissions to access the S3 bucket.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
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
An organization's application needs to monitor application-specific events with a standard AWS service. The service should capture the number of logged-in users and trigger events accordingly.
asked
Jul 11
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
A company has hired you for its on-going development project. The project entails streaming data onto Amazon Kinesis streams from various log sources. You need to analyze real-time data using standard SQL.
asked
Jul 10
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
Explain the concept of gradient boosting. How does it work in the context of XGBoost?
asked
Jul 10
in
XGBoost
by
Robindeniel
xgboost
0
votes
How does XGBoost differ from random forests?
asked
Jul 10
in
XGBoost
by
Robindeniel
xgboost
0
votes
Can you explain the differences between gradient boosting machines (GBM) and XGBoost?
asked
Jul 10
in
XGBoost
by
Robindeniel
gradient
boosting
machines
0
votes
What is XGBoost and why is it considered an effective machine learning algorithm?
asked
Jul 10
in
XGBoost
by
Robindeniel
xgboost
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
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
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
How does XGBoost handle missing or null values in the dataset?
asked
Jul 10
in
XGBoost
by
Robindeniel
xgboost
handle
missing
0
votes
You are a developer for a company. You have to develop an application that would transfer the logs from several EC2 Instances to an S3 bucket.
asked
Jul 10
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
What is meant by 'regularization' in XGBoost and how does it help in preventing overfitting?
asked
Jul 10
in
XGBoost
by
Robindeniel
regularization
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
You've been hired as a developer to work on an application. This application is hosted on an EC2 Instance and interacts with an SQS queue.
asked
Jul 10
in
AWS
by
DavidAnderson
aws-developer-certification-exam
0
votes
You've just created an AWS Lambda function. You're running the function, but the output of the function is not as expected.
asked
Jul 10
in
AWS
by
DavidAnderson
aws-developer-certification-exam
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