notes (AI) Flashcards

1
Q

In AI project cycle frame work there are certain stages. These stages are:

A

 Problem Scoping
 Data Acquisition
 Data Modelling
 Evaluation

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2
Q

What is Problem Scoping?

A

The problem scoping refers to the identification of a problem and the vision
to solve it.

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3
Q

The 4Ws of Problem Scoping

A

Who? – Refers that who is facing a problem and who are the stakeholders of the problem
What? – Refers to what is the problem and how you know about the problem
Where? – It is related to the context or situation or location of the problem
Why? – Refers to why we need to solve the problem and what are the benefits to the
stakeholders after solving the problem

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4
Q

The final outcome of problem scoping is

A

the problem statement template.

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5
Q

What is the second element in the AI Project Cycle?

A

Data Acquisition

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6
Q

The stage of acquiring data from the relevant sources is

A

data acquisition

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7
Q

data is classified into two categories

A
  • Numeric Data

* Text Data

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8
Q

Numeric data can be classified into

A
  • Discrete Data: The countable data can be considered as discrete data. For example 132 customers, 126 Students etc.
  • Continuous Data: The uncountable data can be represented in this category. For example 10.5 KGS, 100.50 Kms etc
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9
Q

Mainly used for computation

A

Numeric Data

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10
Q

mainly used to represent names, collection of words together, phrases, textual information etc

A

Text Data

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11
Q

The data which is going to be feed in the system to train the model or already fed in the system can have a specific set of constraints or rules or unique pattern can be considered as

A

structural data

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12
Q

The structure classification is divided into 3 categories

A
  1. Structured Data
  2. Unstructured Data
  3. Semi-Structured Data
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13
Q

This structure helps the system to predict the next best action. It is following a specific time-order to define the sequence. This time can be the time of data captured or processed or collected

A

Time-Stamped Data

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14
Q

The result or output of a specific program, system or technology. It consists of data related to a user’s interaction with the system like the user’s logged-in session data, specific search records, user engagement such as comments, likes and shares etc

A

Machine Data

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15
Q

The data which contains information related to geographical location and time. It records the location through GPS and time-stamped data where the event is captured or data is collected

A

Spatiotemporal Data

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16
Q

It is freely available data for everyone. Anyone can reuse this kind of data

A

Open Data

17
Q

The data which is available with the event is considered as

A

Real-time Data

18
Q

The data which cannot be stored by any system or traditional data collection software like DBMS or RDBMS software can be considered as

A

Big Data

19
Q

Data features refer to the type of data you want to collect. Here two terms are associated with this

A
  1. Training Data: The collected data through the system is known as training data. In other words the input given by the user in the system can be considered as training data.
  2. Testing Data: The result data set or processed data is known as testing data. In other words, the output of the data is known as testing data
20
Q

Using someone else data without permission is

A

cybercrime