aws machine learning certification data exploratory problems What is the purpose of exploratory data analysis in machine learning? a. To build the model architecture b. To gather insights and make informed decisions about features and model selection c. To evaluate model performance d. To optimize hyperparameters What is the difference between univariate and bivariate analysis? a. Univariate analysis focuses on one feature at a time, while bivariate analy..
aws machine learning data engineering problems What service can you use to store and process big data for use with AWS machine learning services? a. Amazon S3 b. Amazon EC2 c. Amazon Kinesis d. Amazon Redshift Which service can you use to process data in parallel and perform transformations on big data, before loading it into Amazon S3? a. Amazon S3 b. Amazon EC2 c. Amazon EMR d. Amazon Glue What service can you use to store and manage struc..
aws machine learning modeling problems What is the main difference between supervised and unsupervised learning algorithms in SageMaker? a. Supervised learning algorithms require labeled data, while unsupervised learning algorithms do not. b. Unsupervised learning algorithms require labeled data, while supervised learning algorithms do not. c. Supervised learning algorithms are more accurate than unsupervised learning algorithms. d. ..