What is the machine learning technique that uses human feedback to optimize models to self-learn more efficiently? Supervised Learning Reinforcement Learning from Human Feedback (RLHF) Transfer Learning Unsupervised Learning

Reinforcement Learning from Human Feedback (RLHF)

What technique improves the quality and reliability of generative AI models by obtaining facts from external sources? Model Tuning Retrieval Augmented Generation (RAG) Feature Selection Data Augmentation

Retrieval Augmented Generation (RAG)

AWS Certified Machine Learning Engineer Associate MLA-C01 Flash Cards

Flashcard

Learn Mode

Match

Library

Create

Flashcards

Library

Match (Coming Soon)

Computer Science - Software Engineering

user_lira_cofre Created by 7 mon ago

Cards in this deck(100)

What is the process of extracting and transforming variables from raw data for training and prediction?

What is an input used by machine learning models during training and inference to make predictions?

What is the set of practices that automate and simplify machine learning workflows and deployments?

What is the term for when a machine learning model gives accurate predictions for training data but not for new data?

What is the machine learning technique that uses human feedback to optimize models to self-learn more efficiently?

What is the fully managed service that provides leading foundation models and features for developing generative AI applications?

What type of generative AI produces human language instructions in response to prompts?

What technique improves the quality and reliability of generative AI models by obtaining facts from external sources?

What is the extensive language model designed for text generation and suitable for complex language applications?

What is a sequence of characters that, when found by the model, will cease the creation of new tokens?

What are large language models trained to interpret massive amounts of textual data and human language?

What is the machine learning technology that enables machines to understand and manipulate human language?

What utilizes a memory mechanism to store and apply information from previous inputs, useful for sequential data?

What is the deep-learning architecture that includes an encoder component converting input text to embeddings?

What accepts natural language input and generates a high-quality image corresponding to the text description?

What is the deep learning architecture system that learns through forward and reverse diffusion processes?

What is the emerging field focused on developing, designing, and optimizing prompts to enhance LLM outputs?

What is a machine learning model that produces faster and easy-to-explain results but may not be accurate?

What is a machine learning model that produces accurate results but may be difficult to explain?

What is the unsupervised learning technique designed to represent documents as a combination of topics?

What is used to classify each pixel in an image into a class, creating a detailed segmentation map?

What provides a streamlined and visual interface for data preparation and analysis?

What facilitates the analysis and visualization of log data, enabling pattern detection and troubleshooting?

What is designed to build, train, and deploy machine learning models?

What is the NLP service that analyzes text to extract insights like sentiment and key phrases?

What is used to build conversational interfaces and chatbots?

What is the data transport solution designed to accelerate the transfer of large data volumes to and from AWS?

What helps in identifying correlations, trends, and potential outliers in the data?

What is a graphical representation where categories are displayed along one axis and values as rectangular bars?

What type of chart displays the distribution of numerical data by dividing it into intervals or bins?

What is a smooth, continuous graph that estimates the distribution of a dataset?

What involves generating new features from existing data to improve prediction accuracy?

What is a pre-configured model with SageMaker distributed training libraries for efficient data distribution?

What enables you to build fully automated machine learning workflows from data preparation to model deployment?

What service integrated into SageMaker Studio detects potential bias during data preparation and model training?

What is a table displaying each class in the evaluation data with the count or percentage of predictions?

What metric is used to assess the predictive accuracy of a regression model?

What is useful for generating predictions for a group of observations simultaneously?

What predictions can be used to make immediate decisions about the likelihood of a transaction being fraudulent?

What compares your model's predictions with Ground Truth labels to assess the model's quality?

What offers unified model monitoring with automated alerts for deviations and tools for troubleshooting?

What is a column or feature that includes the attributes used to measure bias?

What refers to the process of gathering, preprocessing, and organizing raw data for analysis and modeling?

What is the process of preparing raw data for machine learning and business intelligence applications?

What is the method of substituting real sensitive data with non-sensitive data for enhancing data security?

What functionality converts groups to inspect string-typed columns using text embedding?

What is a repository designed specifically to store, share, and manage features for ML models?

What provides a comprehensive set of human-in-the-loop capabilities to enhance model accuracy and relevancy?

What is a pre-training bias metric that measures the imbalance in the number of members between different facet values?

What measures the imbalance of positive outcomes among different facet values?

What is a text translation service that uses advanced machine learning technologies for high-quality translation?

What uses machine learning to automate the detection of potentially fraudulent activities online?

What is a web service providing an on-demand, scalable, human workforce for tasks better done by humans?

What provides text-to-speech in all contact flows?

What is based on scalable deep learning technology to analyze billions of images and videos daily?

What service detects and recognizes text from scanned old newspapers?

What analyzes audio files containing speech and transcribes the voice data into text?

What enables users to assess, compare, and select foundational models based on quality and responsibility metrics?

What helps prevent overfitting by penalizing extreme weight values in linear models?

What type of regularization reduces the amount of noise in the model?

What type of regularization stabilizes the weights when there is a high correlation between input features?

What is a tuning strategy based on multi-fidelity that dynamically reallocates resources?

What helps developers enhance applications with ML and supports model development in CV, NLP, and more?

What type of scaler scales the input column using statistics that are robust to outliers?

What AWS service provides a code-free, visual, drag-and-drop environment to create ML models?

What is a supervised learning algorithm used to solve regression or classification problems?

What is an unsupervised clustering algorithm used to group unlabeled data based on similarities?

What model can be used to identify individual objects in an image?

What is an unsupervised algorithm used for anomaly detection?

What service can be used to document the business details of models in one place?

What has the capability to queue incoming requests to process them asynchronously?

What is a docker container registry that can store, manage, and deploy Docker container images?

What is a CI/CD service used to automate the building, testing, and deployment of code project releases?

What is a source control service used to host private Git repositories?

What can interact with the Apache Spark framework engine to execute data engineering and ML processes?

What is a distributed processing framework and programming model for ML, stream processing, or graph analytics?

What service can be used to increase the speed of transferring files to and from Amazon S3?

What type of database provides fast similarity search and retrieval based on vector proximity?

What type of database is structured to recognize relationships among stored items of information?

What gives the model the ability to process categorical data by converting it into a numerical format?

What can be used to assess the non-linear relationship between numeric features?

What is a statistical test assessing association between categorical variables?

What is a metric indicating classification accuracy calculated as the harmonic mean of precision and recall?

What is a graphical plot used in ML to illustrate the performance of a model at all classification thresholds?

What helps quantify the proportion of positive predictions that were identified correctly?

What provides the ability to cache models and scale up to tens of thousands of models using a single instance?

What method protects against over-scaling when capacity increases or decreases?

What occurs when real-life data distribution significantly differs from the trained model data distribution?

What is showing disparate treatment to certain groups?

What occurs when model interpretability is affected because the relative importance of features starts to change?

What endpoint can users use to secure ML model training data?

What is a HIPAA-eligible service providing FHIR APIs to securely store, transform, and analyze health data?

What ML service uses computer vision to spot defects in manufactured products at scale?

What utilizes machine learning to identify and diagnose irregularities within business and operational data?

What is a machine learning industrial equipment monitoring service that identifies abnormal equipment behavior?

What utilizes machine learning to identify irregular operational patterns, allowing pinpointing of operational issues?

What performs code generation, testing, debugging, and multi-step planning and reasoning?

What is an interactive agent that simplifies monitoring and interacting with AWS resources in Teams and Slack?

What is an analytics service used to create datasets, perform analyses, and build visualizations and dashboards?

What is a fully managed database service built for the cloud to run graph applications?

Ask Our AI Tutor

Get Instant Help with Your Questions

Need help understanding a concept or solving a problem? Type your question below, and our AI tutor will provide a personalized answer in real-time!

How it works

Ask any academic question, and our AI tutor will respond instantly with explanations, solutions, or examples.

Get Started

Browse questions and discover topic-based flashcards
Practice with engaging flashcards designed for each subject
Strengthen memory with concise, effective learning tools

Discover By Topic

AWS Certified Machine Learning Engineer Associate MLA-C01 Flash Cards

Related Decks