Machine Learning (ML) and Artificial Intelligence (AI) are closely related fields but have distinct definitions:
Artificial Intelligence (AI): AI is a broad field of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. AI encompasses various subfields, including machine learning, natural language processing, computer vision, robotics, and more. AI systems can analyze data, learn from it, reason, make decisions, and perform tasks with varying levels of autonomy.
Machine Learning (ML): Machine learning is a subset of AI that focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data without explicit programming. ML algorithms automatically learn and improve from experience, iteratively refining their performance over time. They are trained on labeled or unlabeled data to identify patterns, make predictions, or take actions.
AI is a broader concept that encompasses the development of intelligent machines, while ML is a specific approach within AI that emphasizes learning from data to make predictions or decisions. ML is often a crucial component of AI systems, enabling them to learn, adapt, and improve their performance.
Amazon Augmented AI: Amazon Augmented AI (Amazon A2I) is a service that makes it easy to add human review to machine learning predictions. It helps improve the accuracy of ML models by allowing human reviewers to review and validate model predictions.
Amazon CodeGuru: Amazon CodeGuru is an ML-powered service that provides automated code reviews and application performance recommendations. It helps developers improve code quality, identify potential issues, and optimize application performance.
Amazon CodeWhisperer: There is no specific information available regarding Amazon CodeWhisperer. It may not be an existing or publicly known Amazon service.
Amazon Comprehend: Amazon Comprehend is a natural language processing service that uses ML to extract insights and relationships from unstructured text. It can analyze documents, identify sentiment, extract key phrases, and perform language-specific entity recognition.
Amazon DevOps Guru: Amazon DevOps Guru is a service that uses ML to detect and troubleshoot operational issues in applications running on AWS. It automatically analyzes application metrics, logs, and events to provide actionable recommendations for improving application availability and performance.
Amazon Forecast: Amazon Forecast is a fully managed service for time series forecasting. It uses ML techniques to generate accurate forecasts based on historical data, allowing businesses to make informed decisions and optimize their operations.
Amazon Fraud Detector: Amazon Fraud Detector is a service that helps businesses identify potentially fraudulent activities and transactions using ML. It enables the creation of custom fraud detection models by utilizing historical data and provides real-time fraud predictions.
Amazon HealthLake: Amazon HealthLake is a HIPAA-compliant service that uses ML to aggregate, structure, and analyze healthcare data. It helps healthcare providers and organizations unlock insights from vast amounts of unstructured health data, enabling better patient care and research.
Amazon Comprehend Medical: Amazon Comprehend Medical is a natural language processing service specific to the healthcare domain. It extracts medical information and identifies key medical terms, conditions, procedures, and relationships from unstructured medical text.
Amazon Kendra: Amazon Kendra is an enterprise search service that uses ML to provide highly accurate and contextual search results across various data sources. It understands natural language queries and delivers relevant information from documents, FAQs, manuals, and more.
Amazon Lex: Amazon Lex is a service for building conversational interfaces, also known as chatbots. It uses ML to understand and respond to text or voice-based queries, allowing developers to create interactive and engaging conversational experiences.
Amazon Lookout for Equipment: Amazon Lookout for Equipment is an ML service that detects abnormal equipment behavior patterns to identify potential equipment failures and anomalies. It enables proactive maintenance and reduces downtime for industrial machinery.
Amazon Lookout for Metrics: Amazon Lookout for Metrics is an ML-powered service that automatically detects anomalies and outliers in business metrics and time series data. It helps businesses monitor and identify unusual patterns, facilitating quick actions to address issues.
Amazon Lookout for Vision: Amazon Lookout for Vision is an ML service that detects anomalies and defects in visual inspections. It is used in manufacturing and industrial processes to improve quality control and reduce defects.
Amazon Monitron: Amazon Monitron is an end-to-end machine monitoring system for industrial equipment. It combines sensors, gateway devices, and cloud-based analytics to detect abnormal equipment behavior and provide insights for predictive maintenance.
AWS Panorama: AWS Panorama is a machine learning appliance that enables computer vision at the edge. It allows organizations to run computer vision models on cameras and other edge devices, enabling real-time analysis and insights without relying on the cloud.
Amazon Personalize: Amazon Personalize is a service that enables the creation of personalized recommendations
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