intro to project cycle Flashcards
What are the key components of an Ai project cycle
The components of the AI Project Cycle is Problem Scoping, Data Acquisition, Data
Exploration, Modelling and Evaluation.
What is problem scoping
Problem scoping means identifying a problem and setting its solution as a goal. Problem Scoping is the first component of the Project Cycle which is used to define
the goal/ aim of the problem which you want to achieve with the help of your project.
What is data acquisition, where can data be collected from
.
Data acquisition has been understood as the process of
gathering,
filtering, and
cleaning data
before the data is put in storage solution.
Data Acquisition is used to collect the data in the form of text, video, images, and so
on, regarding the project and it should be accurate and reliable.
• Data can be collected from various sources like newspapers, journals, the internet, and so
on.
What is data exploration
Explore Data:
Data exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest.
Data Exploration is the process in which data gathered needs to be uniformly
arranged for a better understanding.
What is data modelling?
Data modelling is the process of developing
a model for the data to be stored in a database. To implement the ideas we have to evaluate each and every model by checking its advantages and disadvantages. Choosing the best model which gives the most reliable result is called data modelling.
What is model evaluation
Model Evaluation is an integral part of the model development process.
It helps to find the best model that represents our data and how well the chosen model will work in the future. Model evaluation is the process of evaluation based on the output which is received by feeding a test dataset into the model and comparing the output with the actual answers
What is AI project cycle
The project cycle is the cyclical process that data science projects follow.
It defines each step that an organization should follow to take advantage of machine
learning and artificial intelligence (AI) to derive practical business value.
● There are five major steps in the machine learning life cycle, all of which have
equal importance and go in a specific order.
What is project scoping
;The work that needs to be accomplished to deliver a product,
service, or result with the specified features and functions.
What is a project life cycle
A project life cycle is the sequence of phases that a project goes
through from its initiation to its closure
what is data acquisition ???
Data acquisition has been understood as
the process of
gathering,
filtering, and
cleaning data
before the data is put in storage solution.
collecting data in various forms like photos, texts , images , videos etc . We have to check the authenticity of the information collected . the data needs to be accurate and reliable to work efficiently.
What is a physical data model
A Physical Data Model describes the
DATABASE-SPECIFIC IMPLEMENTATION of the data model.
What is a logical data model
Logical data model defines the structure of
the data elements and set the relationships
between them.
What is the aim of evaluation
The aim is to determine –
Level of achievement of project objectives,
Development effectiveness,
Efficiency of the project,
Impact and sustainability.
What is evaluation
Project evaluation is a systematic and objective assessment of an
ongoing or completed project.
What are system maps
A system map shows the components and boundaries of a system and the components of the environment at a specific point in time. With the help of System Maps, one can easily define a relationship amongst different elements which come under a system.
