AWS ML Associate Certification
Study online at https://quizlet.com/_ilq3cw
1. Amazon Sage- A fully managed service that enables developers and data scientists to build, train,
Maker and deploy machine learning models quickly.
2. Supervised A type of machine learning where the model is trained on labeled data to predict
Learning outcomes for new, unseen data.
3. Unsupervised A machine learning approach that identifies patterns in data without pre-existing
Learning labels.
4. Reinforcement A type of machine learning where an agent learns to make decisions by receiving
Learning rewards or penalties based on its actions.
5. Feature Engi- The process of selecting, modifying, or creating variables that improve the perfor-
neering mance of a machine learning model.
6. Overfitting A modeling error that occurs when a machine learning model learns the training
data too well, including noise and outliers, leading to poor performance on new
data.
7. Cross-Validation A technique used to assess how the results of a statistical analysis will generalize
to an independent dataset.
8. Hyperparameter The process of optimizing the parameters that govern the training process of a
Tuning machine learning model.
9. Amazon Rekogni- A service that makes it easy to add image and video analysis to applications using
tion deep learning.
10. Data Lake A centralized repository that allows you to store all your structured and unstructured
data at any scale.
11. Amazon Compre- A natural language processing (NLP) service that uses machine learning to find
hend insights and relationships in text.
, AWS ML Associate Certification
Study online at https://quizlet.com/_ilq3cw
12. Amazon Polly A service that turns text into lifelike speech using deep learning technologies.
13. AWS Glue A fully managed extract, transform, and load (ETL) service that makes it easy to
prepare data for analytics from S3, RDS, DynamoDB.
14. Amazon Tran- An automatic speech recognition (ASR) service that makes it easy for developers to
scribe add speech-to-text capability to their applications.
15. Amazon Trans- A neural machine translation service that delivers fast, high-quality, and affordable
late language translation.
16. Amazon Textract Service that automatically extracts text and data from scanned documents.
17. Amazon Kendra Document search service, extract answers in documents (search engine)
18. Amazon Lex V2 Chat bot service
19. Amazon Person- is a machine learning service that makes it easy for
alize developers to create individualized recommendations for customers using their
applications.
20. Amazon CodeGu- a developer tool that identifies an application's most expensive lines of code
ru Security and provides machine learning (ML)-based insights and recommendations for
improving code quality.
21. Contact Lens a machine learning service for contact centers
(Amazon Con-
nect)
22. Ideal Instances t family
for Juypter Note-
books
23. M, R, C, and P family
Study online at https://quizlet.com/_ilq3cw
1. Amazon Sage- A fully managed service that enables developers and data scientists to build, train,
Maker and deploy machine learning models quickly.
2. Supervised A type of machine learning where the model is trained on labeled data to predict
Learning outcomes for new, unseen data.
3. Unsupervised A machine learning approach that identifies patterns in data without pre-existing
Learning labels.
4. Reinforcement A type of machine learning where an agent learns to make decisions by receiving
Learning rewards or penalties based on its actions.
5. Feature Engi- The process of selecting, modifying, or creating variables that improve the perfor-
neering mance of a machine learning model.
6. Overfitting A modeling error that occurs when a machine learning model learns the training
data too well, including noise and outliers, leading to poor performance on new
data.
7. Cross-Validation A technique used to assess how the results of a statistical analysis will generalize
to an independent dataset.
8. Hyperparameter The process of optimizing the parameters that govern the training process of a
Tuning machine learning model.
9. Amazon Rekogni- A service that makes it easy to add image and video analysis to applications using
tion deep learning.
10. Data Lake A centralized repository that allows you to store all your structured and unstructured
data at any scale.
11. Amazon Compre- A natural language processing (NLP) service that uses machine learning to find
hend insights and relationships in text.
, AWS ML Associate Certification
Study online at https://quizlet.com/_ilq3cw
12. Amazon Polly A service that turns text into lifelike speech using deep learning technologies.
13. AWS Glue A fully managed extract, transform, and load (ETL) service that makes it easy to
prepare data for analytics from S3, RDS, DynamoDB.
14. Amazon Tran- An automatic speech recognition (ASR) service that makes it easy for developers to
scribe add speech-to-text capability to their applications.
15. Amazon Trans- A neural machine translation service that delivers fast, high-quality, and affordable
late language translation.
16. Amazon Textract Service that automatically extracts text and data from scanned documents.
17. Amazon Kendra Document search service, extract answers in documents (search engine)
18. Amazon Lex V2 Chat bot service
19. Amazon Person- is a machine learning service that makes it easy for
alize developers to create individualized recommendations for customers using their
applications.
20. Amazon CodeGu- a developer tool that identifies an application's most expensive lines of code
ru Security and provides machine learning (ML)-based insights and recommendations for
improving code quality.
21. Contact Lens a machine learning service for contact centers
(Amazon Con-
nect)
22. Ideal Instances t family
for Juypter Note-
books
23. M, R, C, and P family
