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AWS SAA C03 > Machine Learnng > Flashcards

Machine Learnng Flashcards

Remember names of the ML products and remember what they do.

1
Q

Amazon Rekognition

A
  • graphic processing - finds objects, text,scenes, images, poeple, videos using ML
  • face detecion and search and analysis
  • creates database of familiar faces, compare
    Use case:
  • labeling
  • text detection
  • celebrity reckognition

Amazon Rekognition – Content Moderation -
* detects content that is** inappropiate or offensive**
* you can set minimum confidence treshold
* flag sensitive content for manual review

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2
Q

Amazon Transcribe

A
  • speech to text
  • ASR (Automatic speech reckognition)
  • automatic language detection
  • automatic detection of PII
  • transacribe customer service calls
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3
Q

Amazon Polly

A
  • text into speech
  • Pronunciation lexicons => acronyms, slylized words - use in SynthesizeSpeech
  • SSML - emphasizing specific words, whispering, phonetic pronounciation
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4
Q

Amazon Translate

A
  • language translation
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5
Q

Amazon Lex

A
  • speech to text
  • natural language understanding
  • chatbots Amazon Lex enables any developer to build conversational chatbots quickly
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6
Q

Amazon Connect

A
  • receive calls
  • create flow
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7
Q

Amazon Comprehend

A
  • NLP natural language processing
  • uses ML to analyse text and find nsights
  • organise text files bytopic
  • analyze email history to understand leads
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8
Q

Amazon Comprehend Medical

A
  • Amazon Comprehend Medical detects and returns useful information in
    unstructured clinical text:
  • Physician’s notes
  • Discharge summaries
  • Test results
  • Case notes
  • detects Protected Health Information PHI
    You can use the extracted medical information and their relationships to build applications for use cases, like clinical decision support, revenue cycle management (medical coding), and clinical trial management. Because Comprehend Medical is HIPAA-eligible and can quickly identify protected health information (PHI), such as name, age, and medical record number, you can also use it to create applications that securely process, maintain, and transmit PHI.
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9
Q

Amazon SageMaker

A
  • build ML models in fast and easy way
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10
Q

Amazon Forecast

A
  • delivers** forecast**
  • example: predict future sales of jeans
  • very quick
  • planning: financial, resource etc
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11
Q

Amazon Kendra

A

* document search
* extract text from documant
* IncrementalLearning learn from user interactions feedback to promote preferred results
* able to filter search by importance of data, freshness etc.
* user asks question and kendra gicen back result based on knowledge from given documents

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12
Q

Amazon Personalize

A
  • similar to Amazon - marketing technology tool
  • build app with real-time personalized recommendations
  • ready ML solution no data training
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13
Q

Amazon Textract

A
  • automatic extraction of handwriting from files and documents
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AWS SAA C03 (8 decks)

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