The AI Project Cycle

Game 1: Rock, Paper and Scissors

(based on Data Science)

Game 2: Semantris

(based on Natural Language Processing - NLP)

Game 3: Quick, Draw

(based on Computer Vision – CV)

Recap from the AI based Games

4W’s Canvas

DATA ACQUISITION

Observations:

• When we observe something carefully, we get some information
• For ex: Scientists Observe creatures to study them.
• Observations are a time-consuming data source.

Surveys

• The survey is a method of gathering specific information from a sample of people. Example, a census survey for analysing the population.

Web Scraping-

• Web Scraping means collecting data from web using some technologies.
• We use it for monitoring prices, news and etc. Example: Web Scrapping using beautifulsoup in python.

Sensors-

• Sensors are very important but very simple to understand.
• Sensors are the part of IoT (Internet of things)
• Sensors collect the physical data and detect the changes.

Cameras

• Camera captures the visual information and then that information which is called image is used as a source of data.
• Cameras are used to capture raw visual data.

API

• Application Programming interface.
• API is a messenger which takes requests and tells the system about requests and gives the response. Ex: Twitter API, Google Search API

DATA EXPLORATION

When we get a set of data in our hands, spending

time to explore it will help get a sense of the trends, relationships and patterns present in the data.

It will also help us better decide on which model/models to use in the subsequent AI Project Cycle stage.

We use visualization as a method because it is much easier to comprehend information

MODELLING

Types of AI Models

EVALUATION