AWS Machine Learning

 

1️⃣ AWS Machine Learning Overview

AWS provides a broad suite of AI and ML services to help developers build, train, and deploy machine learning models or use pre-trained AI services for specific tasks like image recognition, speech-to-text, translation, and personalization.

2️⃣ Amazon Rekognition

  • A computer vision service that analyzes images and videos using pre-trained deep learning models.
  • Capabilities:
    • Object and scene detection
    • Face detection and analysis
    • Celebrity recognition
    • Text detection in images
    • Unsafe content detection (Content Moderation)

Content Moderation

  • Identifies inappropriate or unsafe content in images or videos (e.g., nudity, violence).
  • Common use cases:
    • Social media platforms filtering harmful content
    • Automated video moderation

3️⃣ Amazon Transcribe

  • Automatic Speech Recognition (ASR) service that converts speech to text.
  • Features:
    • Real-time transcription
    • Multi-language support
    • Custom vocabulary for domain-specific terms
  • Use cases:
    • Call center analytics
    • Subtitle generation for videos

4️⃣ Amazon Polly

  • A Text-to-Speech (TTS) service that converts text into lifelike speech.
  • Supports multiple languages and voices (male/female).

Lexicon & SSML

  • Lexicon: Customize pronunciation of specific words (e.g., brand names).
  • SSML (Speech Synthesis Markup Language): Controls speech effects like pauses, emphasis, and tone.

Example:

<speak>
    <prosody rate="slow">Welcome to Certifikaton.com</prosody>
</speak>

5️⃣ Amazon Translate

  • Neural machine translation service for converting text between multiple languages in real-time.
  • Supports:
    • Batch or streaming translations
    • Domain-specific customizations
  • Use cases:
    • Website localization
    • Multilingual customer support

6️⃣ Amazon Lex & Amazon Connect

  • Amazon Lex: Build chatbots and virtual assistants using Natural Language Understanding (NLU) and Automatic Speech Recognition (ASR).
  • Amazon Connect: Cloud-based contact center service that integrates with Lex for automated customer service interactions.

Example:

  • A chatbot that books airline tickets via a voice call.

7️⃣ Amazon Comprehend

  • A Natural Language Processing (NLP) service that extracts insights from text using ML.
  • Capabilities:
    • Sentiment analysis (positive/negative/neutral)
    • Key phrase extraction
    • Entity recognition (names, dates, locations)
    • Language detection
    • Topic modeling

Comprehend Medical

  • Specialized version of Comprehend for healthcare and medical records.
  • Extracts:
    • Medical conditions
    • Treatments
    • Dosage instructions
    • Helps in clinical decision support and patient data analysis.

8️⃣ Amazon SageMaker

  • A fully managed ML platform that allows developers and data scientists to:
    • Build: Prepare and label data
    • Train: Use built-in algorithms or custom ML frameworks
    • Deploy: Host models for predictions
  • Supports:
    • Jupyter notebooks
    • AutoML (SageMaker Autopilot)
    • Model monitoring
  • Use cases:
    • Predictive analytics
    • Fraud detection
    • Recommendation systems

9️⃣ Amazon Forecast

  • A time-series forecasting service based on ML.
  • Uses historical data and related data points to make accurate forecasts.
  • Use cases:
    • Retail demand forecasting
    • Financial market predictions
    • Resource capacity planning

10️⃣ Amazon Kendra

  • An AI-powered enterprise search service.
  • Uses NLP to allow natural language search queries across structured and unstructured data.
  • Use cases:
    • Internal company knowledge base
    • Document search across multiple repositories

11️⃣ Amazon Personalize

  • A real-time personalization and recommendation engine, similar to what Amazon.com uses.
  • Uses your customer interaction data to provide:
    • Product recommendations
    • Personalized search results
    • Targeted marketing
  • Example:
    • “Customers who bought X also bought Y”

12️⃣ Amazon Textract

  • A document intelligence service that extracts text, handwriting, and structured data (tables, forms) from scanned documents.
  • Goes beyond OCR by understanding document structure and context.
  • Use cases:
    • Automated invoice processing
    • Digitizing paper-based workflows

✅ AWS Machine Learning Services Summary Table

Service Purpose
Rekognition Image & video analysis, face recognition, content safety
Transcribe Speech-to-text
Polly Text-to-speech with natural voices
Translate Text translation across languages
Lex & Connect Chatbots and contact center automation
Comprehend Text analytics, sentiment, entities
Comprehend Medical Extract medical insights from clinical texts
SageMaker Build, train, deploy custom ML models
Forecast Time-series forecasting
Kendra Intelligent enterprise search
Personalize Personalized recommendations
Textract Document text and data extraction


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