Accuracy
It is defined as "the ratio of correct predictions to total predictions made".
Principal Component Analysis
It is a popular technique that aims to reduce high-dimensional data into low-dimensional data, while
preserving useful information for prediction.
Linear Learner
An Amazon SageMaker Algorithm that can be used to solve classification or regression problems.
Pipe
In Amazon SageMaker, ______ mode makes it possible for training data to be streamed from
Amazon S3 directly to your training instance.
Overfitting
A model has a training accuracy of 99% and a validation accuracy of 68%. This shows that the model
is ______.
Confusion matrix
A visualization technique commonly used to describe the performance of a classification model.
Inference
The process of making predictions using a trained model is known as ______.
,AWS Elastic Inference
An AWS resource can you attach to CPU-based instances to accelerate and lower the cost of running
deep learning inference
Regularization
Helps prevent linear models from overfitting training.
Amazon Athena
It is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
Amazon EMR
It simplifies the processing of large volumes of data efficiently using Apache Hadoop and other
services offered by a popular cloud service provider.
AWS Glue
A serverless data integration service that simplifies the process of discovering, preparing, moving,
and integrating data from multiple sources.
Amazon Kinesis
Makes it easy to collect, process, and analyze video and data streams in real time.
Amazon Kinesis Data Firehose
Extract, transform, and load (ETL) service that reliably captures, transforms, and delivers streaming
data to data lakes, data stores, and analytics services.
, Amazon Kinesis Data Streams
Scalable, long-lasting, and low-cost streaming data solution from Amazon
Amazon Managed Service for Apache Flink
A fully managed Amazon service that enables you to use an Apache Flink application to process
streaming data.
Amazon QuickSigh
This is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly
get business insights from your data.
AWS Batch
It removes the undifferentiated heavy lifting of configuring and managing the required infrastructure,
similar to traditional batch computing software.
Amazon EC2
Web service that provides resizable compute capacity in the cloud
AWS Lambda
This service runs your code on a high-availability compute infrastructure and performs all of the
administration of the compute resources, including server and operating system maintenance,
capacity provisioning and automatic scaling, and logging.
Amazon Elastic Container Registry (Amazon ECR)
It is defined as "the ratio of correct predictions to total predictions made".
Principal Component Analysis
It is a popular technique that aims to reduce high-dimensional data into low-dimensional data, while
preserving useful information for prediction.
Linear Learner
An Amazon SageMaker Algorithm that can be used to solve classification or regression problems.
Pipe
In Amazon SageMaker, ______ mode makes it possible for training data to be streamed from
Amazon S3 directly to your training instance.
Overfitting
A model has a training accuracy of 99% and a validation accuracy of 68%. This shows that the model
is ______.
Confusion matrix
A visualization technique commonly used to describe the performance of a classification model.
Inference
The process of making predictions using a trained model is known as ______.
,AWS Elastic Inference
An AWS resource can you attach to CPU-based instances to accelerate and lower the cost of running
deep learning inference
Regularization
Helps prevent linear models from overfitting training.
Amazon Athena
It is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.
Amazon EMR
It simplifies the processing of large volumes of data efficiently using Apache Hadoop and other
services offered by a popular cloud service provider.
AWS Glue
A serverless data integration service that simplifies the process of discovering, preparing, moving,
and integrating data from multiple sources.
Amazon Kinesis
Makes it easy to collect, process, and analyze video and data streams in real time.
Amazon Kinesis Data Firehose
Extract, transform, and load (ETL) service that reliably captures, transforms, and delivers streaming
data to data lakes, data stores, and analytics services.
, Amazon Kinesis Data Streams
Scalable, long-lasting, and low-cost streaming data solution from Amazon
Amazon Managed Service for Apache Flink
A fully managed Amazon service that enables you to use an Apache Flink application to process
streaming data.
Amazon QuickSigh
This is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly
get business insights from your data.
AWS Batch
It removes the undifferentiated heavy lifting of configuring and managing the required infrastructure,
similar to traditional batch computing software.
Amazon EC2
Web service that provides resizable compute capacity in the cloud
AWS Lambda
This service runs your code on a high-availability compute infrastructure and performs all of the
administration of the compute resources, including server and operating system maintenance,
capacity provisioning and automatic scaling, and logging.
Amazon Elastic Container Registry (Amazon ECR)