notes (AI) Flashcards
In AI project cycle frame work there are certain stages. These stages are:
Problem Scoping
Data Acquisition
Data Modelling
Evaluation
What is Problem Scoping?
The problem scoping refers to the identification of a problem and the vision
to solve it.
The 4Ws of Problem Scoping
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
The final outcome of problem scoping is
the problem statement template.
What is the second element in the AI Project Cycle?
Data Acquisition
The stage of acquiring data from the relevant sources is
data acquisition
data is classified into two categories
- Numeric Data
* Text Data
Numeric data can be classified into
- 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
Mainly used for computation
Numeric Data
mainly used to represent names, collection of words together, phrases, textual information etc
Text Data
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
structural data
The structure classification is divided into 3 categories
- Structured Data
- Unstructured Data
- Semi-Structured Data
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
Time-Stamped Data
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
Machine Data
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
Spatiotemporal Data