Ai project cycle and Neural network

Question 1

Five stages of AI project cycle

Answer 1

Porblem scoping, data acqusition, data exploration , modelling , evaluation.

Question 2

Problem scoping

Answer 2

Component of the project cycle where the problem is identified using several methods and defining the goal or the aim of the project which you want to achieve.

Question 3

4W’S CANVAS

Answer 3

To find the solution of a problem - the root of the problem must be known and similarly the importance of solving that problem. and how it is going to help etc.

• Who has the problem?
  -What is the problem?
  -WHere does this problem exist?
  -Why is the problem worth solving?

Question 4

What does the 4WCANVAS do?

Answer 4

IT is used to pen down all the elemts that are directly or indirectly affecting the problem of the project.

Question 5

Problem statement template

Answer 5

It is used to put the problem defined using the 4WC into the paragraph form.It posses a detailed descriptino of the stakeholders , the problem , where the problem is occuring and the Why you need to address it.

Question 6

Data Acquistion

Answer 6

It refers to the collection/acquisition of data for the scoped problem.This data has to be reliable,authenthic and efficient.

Question 7

What is the importance of training data for the efficiency of the results

Answer 7

Training data is fundamental for the machine to learn and predict the outcomes.It is paramount for the machine to give accurate results when tested with the testing data.Hence , it has to be reliable and authentic and accurate.

Question 8

Methods online to collect information

Answer 8

Data can be collected from various websites.but referring to the authentic websites is paramount for the efficiency of the model.

Question 9

Is data copying allowed freely

Answer 9

There are rules for copying data.Someone elses data cannot be copied without their permission.Using data wihtout permission is a cybercrime and is called plagarism.

Question 10

Authentic websites for data acquistion.

Answer 10

Authentic , reliable , opensources webstes hosted by the governent.

Question 11

Data Exploration

Answer 11

It deals with analysing the data acquired to put it in meaningful form to make a model.

Question 12

Data visualisation

Answer 12

To analyse the data , it is put into visula forms.
-Data visualisation is a tool for the pictorial representation of the data in charts or graphs.

Question 13

Efficiency of Data visualtisation

Answer 13

DV helps is -
-See and comprehend and infer trends and patterns in the data
- Discover the trends and communicate the reuslts effectively.
- Define the strategy
- different DV’S are used depending upon the types of data-
= ONE CAN UNDERSTAND THE CHARACTERISTICS OF THE DATA ACQUIRED.

Question 14

Data Modelling

Answer 14

The fourth stage of the Ai project cycle.
-Once the data is analysed, and the trends and the patterns are recognised , one can devlop different techniques in designing the model and helping in solving the problme.

Question 15

Evaluation

Answer 15

The developed models are then evaluated by cheking their advantages , disadvates and their efficiency.

Question 16

Modelling

Answer 16

Refers to the developmetn of algorithms /models which are trained in such a manner that generates efficient and reliable results.