AI Project cycle Flashcards

1
Q

What is ai project cycle?

A

step by step process to develop a an ai project to solve a problem.

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2
Q

types

A
  1. problem scoping
  2. data acquisition
  3. data exploration
  4. modelling
  5. evaluation
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3
Q

problem scoping

A

identifying the problem and using it in the 4w canvas

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4
Q

data acquisition

A

a method of collecting data:
surveys, web-scraping, camera, sensors, observation and API based applications

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5
Q

data set

A

collection of data in tabular format

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6
Q

training data set

A

large dataset that teaches machine learing algorithms

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7
Q

test datasets

A

datasets clearly used for testing usually a computer model.

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8
Q

data exploration

A

visualisation of acquired data in a user freindly way…

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9
Q

ai model

A

An AI model is a program that has been trained to recognize patterns
using a set of data | 2 types rule based learing based - machine learuing deep leairing

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10
Q

rule based learning

A

ai model where the developer sets rules

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11
Q

learning based approach

A

ai model where the machine learns from its own…

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12
Q

supervised learning

A

contains labelled data sets | 2 types - classification, regression

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13
Q

classification | regression

A

data is classified otbo labels | works based on cotninous data collection

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14
Q

unsupervised learning

A

contanins unlabelled datasets

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15
Q

clustering

A

algorithim that clusters the data in a pattern or a trend

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16
Q

evaluation

A

testing | acuracy - precision - recall - f1 score