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a-eye-nine-humdred > 01-Introduction to AI > Flashcards

01-Introduction to AI Flashcards

1
Q

What is AI

A

Creation of software that imitates human behaviors and capabilities

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2
Q

Key elements of AI

A
  1. Make decisions based on data and past experience
  2. Detect anomalies
  3. Interpret visual input
  4. Understand written and spoken language
  5. Engage in dialogs and conversations
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3
Q

Common AI workloads

A
  1. Machine Learning
  2. Anomaly Detection
  3. Computer Vision
  4. Natural Language Processing
  5. Conversational AI
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4
Q

What platforms does Azure provide for AI

A
  1. Data Storage
  2. Compute
  3. Services
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5
Q

What is Machine Learning

A

How we “teach” a computer model to make predictions and draw conclusions from data

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6
Q

What is Anomaly Detection

A

Automatic capability to detect ERRORS or UNUSUAL activity in a system

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7
Q

What is Computer Vision

A

VISUAL CAPABILITY of software to interpret the world through cameras, video, and images

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8
Q

What is Natural Language Processing

A

Capability for computer to INTERPRET written or spoken LANGUAGE, and RESPOND in kind

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9
Q

What is Conversational AI

A

Capability of software agent (usually referred to as a BOT) to participate in a CONVERSATION

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10
Q

What are three Azure AI-related services

A
  1. Azure MACHINE LEARNING
  2. COGNITIVE Services
  3. Azure BOT Service
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11
Q

What is Azure Machine Learning

A

Platform to TRAIN, DEPLOY, MANAGE ML Models

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12
Q

What are Cognitive Services

A

SUITE OF SERVICES that developers can use to build AI solutions

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13
Q

What is Azure Bot Service

A

Cloud-based platform to DEVELOP and MANAGE bots.

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14
Q

What are Challenges and Risks with AI

A
  1. BIAS
  2. ERRORS
  3. Data LOSS
  4. NOT WORK for everyone
  5. MUST TRUST a complex system
  6. WHO’S LIABLE for AI-driven decisions?
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15
Q

What are Principles of Responsible AI

A
  1. Fairness
  2. Reliability and Safety
  3. Privacy and Security
  4. Inclusiveness
  5. Transparency
  6. Accountability
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16
Q

What services does Azure Machine Learning provide

A
  1. AUTOMATED machine learning
  2. Azure Machine Learning DESIGNER
  3. Data and compute MANAGEMENT
  4. PIPELINES
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17
Q

What is Automated Machine Learning

A

NON-EXPERTS create machine learning model from data in little time

18
Q

What is Azure Machine Learning designer

A

Graphical interface allows no-code development of machine learning solutions

19
Q

What is Data and Compute Management?

A

Cloud-based data storage and compute resources that professional data scientists use to RUN DATA EXPERIMENT CODE AT SCALE.

20
Q

Pipeline

A

Pipelines ORCHESTRATE model TRAINING, DEPLOYMENT and MANAGEMENT tasks.

Used by data scientists, software engineers, and IT operations professionals

21
Q

What is Seeing AI app

A

Designed for the blind and low vision community to describe nearby PEOPLE, TEXT and OBJECTS

22
Q

Common Computer Vision Tasks

A
  1. IMAGE classification
  2. OBJECT detection
  3. SEMANTIC segmentation
  4. Image ANALYSIS
  5. FACE detection, analysis, and recognition
  6. OPTICAL character recognition (OCR)
23
Q

What is Image Classification

A

Classify image based on their CONTENTS

24
Q

What is Object Detection

A

Classify individual objects within an image and identify their location with a bounding box

25
Q

What is Semantic Segmentation

A

Advanced machine learning technique in which INDIVIDUAL PIXELS in the image are CLASSIFIED according to the OBJECT to which they belong

26
Q

What is Image Analysis

A

Combine ML MODELS with ADVANCED IMAGE ANALYSIS techniques to extract information from images.

This includes “TAGS” that could help CATALOG the image or even descriptive CAPTIONS that SUMMARIZE the scene shown in the image

27
Q

What are Face detection, analysis, and recognition services?

A

Specialized form for object detection that LOCATE HUMAN FACES in an image.

Can be combined with classification and facial geometry analysis techniques to infer details such as AGE and EMOTIONAL state; and even RECOGNIZE individuals based on their facial features

28
Q

Optical character recognition (OCR)

A

DETECT and READ text in images.

Read text in PHOTOGRAPHS or extract information from scanned DOCUMENTS such as letters, invoices, or forms

29
Q

Cognitive Services to create computer vision solutions

A
  1. Computer Vision
  2. Custom Vision
  3. Face
  4. Form Recognizer
30
Q

Which Cognitive Services create natural language processing solutions

A
  1. Text ANALYTICS
  2. TRANSLATOR Text
  3. SPEECH
  4. Language Understanding Intelligent Service (LUIS)
31
Q

What are two Cognitive Services to create Conversational AI solutions

A
  1. QnA Maker

2. Azure Bot Service

32
Q

What is Computer Vision Service?

A

Service that allows you to ANALYZE IMAGES AND VIDEO, and extract DESCRIPTIONS, TAGS, OBJECTS and TEXTS.

33
Q

What is Custom Vision

A

Service that allows you to train custom image classification and object detection models using your own images

34
Q

What is Face Service?

A

Service that enables you to build face DETECTION and facial RECOGNITION solutions

35
Q

What is Form Recognizer

A

Service to EXTRACT information from scanned forms and invoices

36
Q

What is Text Analytics

A 
Service to analyze text documents and 
extract key phrases, 
detect entities (such as places, dates, and people) 
and evaluate sentiment (how positive or negative a document is)
37
Q

What is Translator Text

A

Service to translate text between more than 60 languages

38
Q

What is Speech service

A

Service to RECOGNIZE and SYNTHESIZE speech and to TRANSLATE spoken languages

39
Q

What is Language Understanding Intelligent Service (LUIS)

A

Service to TRAIN A LANGUAGE MODEL that can understand SPOKEN or TEXT-based COMMANDS.

40
Q

What is QnA Maker

A

Service enables you to quickly build knowledge base of questions and answers that can form the basis of a dialog between a human and an AI agent.

41
Q

What is Azure Bot Service

A

Service allows you to create, publish and manage bots.

Developers can use Bot Framework to create and manage a bot with Azure Bot Service.

They can integrate back-end services like QnA Maker and LUIS, and connect to channels for web chat, email, MS Teams, and others.

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