Chapter 1 Flashcards

1
Q

Machine Learning Type Models Four Types

A

regression, classification, clustering, anomaly detection

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2
Q

regression machine learning

A

predicts values from historical data

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3
Q

classification machine learning

A

classifies images or predicts between several distinct categories

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4
Q

clustering machine learning

A

discovers structures in data, identifying groups based on similarities in the data

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5
Q

anomaly detection

A

Finds unusual occurrences or events in time-series data. Anomaly detection can identify outliers in the data.

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6
Q

AI workloads

A

prediction, anomaly detection, computer vision, natural language processing, knowledge mining, conversational AI

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7
Q

prediction

A

model that predicts outcomes for new data. Based on regression, classification, and clustering algorithm.

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8
Q

computer vision

A

analysis of images and video to extract information that can be used by computers.

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9
Q

natural language processing

A

analysis of speech and text to extract the meaning and intent of words in a way that can be used by computers.

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10
Q

conversation AI

A

used to create applications where AI agents engage humans in conversations

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11
Q

knowledge mining

A

uses a combination of AI services to extract meaning and relationship from large amounts of information. Uncovers hidden insights in your data.

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12
Q

responsible AI

A

use of AI in solutions without having unintended negative impacts

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13
Q

fairness

A

AI-based systems should treat all people fairly and reduce bias

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14
Q

reliability & safety

A

requires rigorous testing of AI-based systems to eliminate harm to human life

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15
Q

privacy & security

A

AI-based systems should be secure and respect privacy of personal data

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16
Q

inclusiveness

A

AI-based solutions should empower everyone and supply benefits to all parts of society, regardless of any characteristics or factors

17
Q

transparency

A

AI-based solutions should be understandable, or interpretable. Requires AI-based systems have a have a defined purpose and scope and are clear on the limitations of the AI in the solution.

18
Q

accountability

A

everyone at every stage in the development of AI-based systems is accountable for the impact that system may have

19
Q

artificial intelligence

A

mimics the human brain and uses machines to complete complex tasks that humans find difficult to do

20
Q

machine learning

A

uses algorithms to discover patterns and structures in existing data, building a model that can be used to take actions (like classify and predict) on unseen data

21
Q

cognitive services

A

a set of prebuilt AI models, trained by Microsoft, that you can use without being a data scientist to add intelligence into your applications

22
Q

Azure Machine Learning

A

a set of tools and services that you can use to create custom AI models using your own data

23
Q

Azure Bot Service

A

allows you to build and deploy chatbots and intelligence agents