Hot questions

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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

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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

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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

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What is the primary drawback of the k-nearest neighbors (k-NN) algorithm?

asked Jul 8 in Machine Learning by rajeshsharma

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Explain the concept of gradient boosting. How does it work in the context of XGBoost?

asked Jul 10 in XGBoost by Robindeniel

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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

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How does XGBoost handle missing or null values in the dataset?

asked Jul 10 in XGBoost by Robindeniel

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Can you explain the differences between gradient boosting machines (GBM) and XGBoost?

asked Jul 10 in XGBoost by Robindeniel

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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

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What is the main purpose of cross-validation in machine learning?

asked Jul 8 in Machine Learning by rajeshsharma

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How does XGBoost differ from random forests?

asked Jul 10 in XGBoost by Robindeniel

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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

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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

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What is XGBoost and why is it considered an effective machine learning algorithm?

asked Jul 10 in XGBoost by Robindeniel

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What is meant by 'regularization' in XGBoost and how does it help in preventing overfitting?

asked Jul 10 in XGBoost by Robindeniel

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In machine learning, an ensemble model combines the predictions of multiple individual models to:

asked Jul 8 in Machine Learning by rajeshsharma

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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

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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

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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

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Given that Student is a class, how many reference variables and objects are created by the following code?

asked Apr 9, 2021 in JAVA by Robindeniel

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