AI, Datamining, Databases Flashcards

1
Q

AI

A

Study how to create rational, intelligent agents

-ability of the agent to perform a task in an intelligent manner

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2
Q

Machine learning

A
  • sub-area of AI that aims at giving agents the ability to acquire new knowledge
  • the usefulness of a new knowledge is measure with respect of its influence on the overall performance measure
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3
Q

Data mining

A

-usually performed by a human on specific dataset (that is too big or complex to be analyzed by hand, to specific end
Eg give preliminary insight, discover a pattern, extract information, verify assumptions, or try to predict the future
Studying and learning through
-example problems and solutions
-acquired knowledge
-observations

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4
Q

What is intelligence

A
  • the ability to learn or understand or to deal with new or trying situations
  • the skill of reason
  • the ability to apply knowledge to manipulate ones environment or to think abstractly as measured by objective criteria
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5
Q

John McCarthy

A

Father of AI

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6
Q

Who is seen as the first to star working on AI

A

Alan Turing is seen as the first

-he suggested that AI was best researched by programming computers rather than by building machines

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7
Q

Rational agents

A
  • anything that can perceive it’s environment through sensors and acts upon that environment through effectors
  • will always choose the action that maximizes the expected value of the performance measure given the perception sequence to date
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8
Q

Performance measure of agent

A

It is the criteria which determines how successful an agent is

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9
Q

Perception

A

It is agents perceptual inputs at a given instance

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10
Q

Perception sequence

A

It is the history of all that an agent has perceived till date

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11
Q

Behaviour of agent

A

It is the action that agent performs after any given sequence of precepts

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12
Q

Agent function

A

It is a map from the precept sequence to an action

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13
Q

Search

A

Systematic exploration of alternatives for reaching a goal

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14
Q

A problem if defined by four items

A
  1. Initial state
  2. Actions
  3. Goal test
  4. Path cost
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15
Q

Solution

A

Is a sequence of actions leading from the initial state to goal state

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16
Q

Human logic

A
  • humans are information processors

- our strength is the ability to represent and manipulate logical information

17
Q

Learning

A

Three different problems being involved in learning

  • memory
  • averaging
  • generalization
18
Q

Two categories in data mining

A

Predictive tasks

  • classification (walk, drive,fraud)
  • regression (education, race , age)

Descriptive tasks

  • association discovery (bagel, cream cheese)
  • clustering (classical, hip hop)
19
Q

Predictive data mining

A
Goal: identify, estimate, or predict a class to previously unseen records as accurately as possible 
-find a model for the class attribute as a function of the values of the other attributes
20
Q

Dataset

A

•Ground truth
-labeled dataset

•training set

  • subset of the labeled dataset
  • used to learn the model

•testing set
-portion of the dataset not used in building the model used to evaluate the model

21
Q

Confusion matrix

A

Predicted
| Pos | Neg
———————
Actual Positive | TP | FN
Negative | FP | TN

22
Q

Database systems

A

Provide a way of separating the data user from the data itself, with an interface that allows data operations to be performed easily and efficiently

23
Q

Database management system

A

Provides a mechanism for data storage, manipulation and retrieval

24
Q

Relational database

A

Classifies data into relations, which are normally called tables. The entries of a table are rows or records

25
Q

SQL

A

Structured query language