Machine Learning Eng Assoc 3 AWS AI Services Flashcards

1
Q

Artificial Intelligence

A

Computer systems performing human-like intelligent tasks

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2
Q

Machine Learning

A

A subset of AI that uses algorithms to learn from data and make predictions

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3
Q

Deep Learning

A

A subset of machine learning based on artificial neural networks

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4
Q

Natural Language Processing

A

AI technology that enables machines to understand; interpret; and generate human language

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5
Q

Computer Vision

A

AI technology that enables machines to interpret and understand visual information from the world

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6
Q

Amazon Comprehend

A

Fully managed natural language processing service for text analysis

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7
Q

Amazon Translate

A

Neural machine translation service for language translation

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8
Q

Amazon Transcribe

A

Automatic speech recognition service for converting speech to text

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9
Q

Amazon Polly

A

Text-to-speech service that uses deep learning to synthesize natural-sounding speech

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10
Q

Amazon Rekognition

A

Computer vision service for image and video analysis

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11
Q

Amazon Forecast

A

Fully managed service that uses machine learning for time-series forecasting

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12
Q

Amazon Lex

A

Service for building conversational interfaces using voice and text

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13
Q

Amazon Personalize

A

Machine learning service for creating personalized product recommendations

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14
Q

Amazon Textract

A

Service that automatically extracts text; handwriting; and data from scanned documents

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15
Q

Amazon Kendra

A

Intelligent search service powered by machine learning

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16
Q

Amazon Augmented AI (A2I)

A

Service that makes it easy to build workflows for human review of machine learning predictions

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17
Q

Amazon SageMaker

A

Fully managed machine learning platform for building; training; and deploying models

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18
Q

Amazon EC2

A

Elastic Compute Cloud service for scalable computing capacity

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19
Q

AWS Trainium

A

Custom machine learning chips designed for training deep learning models

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20
Q

AWS Inferentia

A

Custom machine learning chips designed for high-performance inference

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21
Q

Amazon Bedrock

A

Fully managed service for building generative AI applications with foundation models

22
Q

Amazon Q Business

A

Generative AI-powered assistant for business use cases

23
Q

Amazon Q Developer

A

AI-powered coding assistant for software development

24
Q

Amazon Q Apps

A

Tool for creating Gen AI-powered apps without coding using natural language

25
Feature Engineering
Process of selecting; transforming; and creating features to improve model performance
26
Model Training
Process of teaching a machine learning model to make predictions based on data
27
Hyperparameter Tuning
Process of finding the optimal set of hyperparameters for a machine learning model
28
Model Evaluation
Process of assessing the performance and effectiveness of a trained model
29
Model Deployment
Process of making a trained machine learning model available for use in a production environment
30
Model Monitoring
Continuous observation and analysis of a deployed model's performance and behavior
31
Data Drift
Changes in the statistical properties of the input data over time
32
Concept Drift
Changes in the relationship between input and output variables in the underlying problem
33
A/B Testing
Experimental approach to compare two versions of a model or system
34
CI/CD
Continuous Integration and Continuous Delivery; practices for automating software delivery processes
35
IAM
Identity and Access Management; AWS service for managing access to AWS resources
36
Security Group
Virtual firewall for controlling inbound and outbound traffic to AWS resources
37
Amazon S3
Simple Storage Service; object storage service in AWS
38
Amazon EFS
Elastic File System; fully managed file storage service for use with AWS cloud services and on-premises resources
39
Amazon Kinesis
Platform for streaming data on AWS
40
AWS Glue
Fully managed extract; transform; and load (ETL) service
41
AWS Lambda
Serverless compute service that runs code in response to events
42
Amazon DynamoDB
Fully managed NoSQL database service
43
MLOps
Application of DevOps principles to machine learning workflows
44
AWS CodePipeline
Fully managed continuous delivery service for automating ML workflows
45
Spot Instances
Cost-effective option for running fault-tolerant ML training jobs
46
Auto Scaling
Automatically adjusting compute resources based on ML workload demands
47
AWS Cost Explorer
Tool for visualizing and managing AWS costs; including ML-related expenses
48
Right-sizing
Matching instance types and sizes to ML workload requirements for cost optimization
49
Data Encryption
Process of encoding ML-related data to protect sensitive information
50
GDPR
General Data Protection Regulation; EU law on data protection and privacy
51
HIPAA
Health Insurance Portability and Accountability Act; US law for data privacy in healthcare
52
Version Control
System for tracking and managing changes to ML code; models; and datasets