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Data
Data is a domain of AI that is related to input to the AI machine. Under
this domain, the type of input data can be numeric (0–9) or text (A–Z or
a–z) or special symbols (#, @, $, etc.). More the data, the better will be
the analysis and more accurate would be the prediction. Thus, AI requires
large amounts of data to find the latest trends and patterns. For example,
I plan to organise a social gathering in an open-air setup in the month of
August in Delhi. I will have to look for a weather forecast for the same and
also look at the previous years' trends. So, data collection is the base for
analyses and pattern recognition models. From those patterns, predictive
models can be made.
So, the data is the most important part of an AI machine. After the data is collected from different sources, the
AI machine analyse the data and then process it.
Experiential Learning
GAME 01 Rock Paper and Scissors
Visit: https://next.rockpaperscissors.ai/ or scan the QR code to play the game.
The challenge here is to win 20 games against AI before AI wins them against you. Answer
the following questions after playing the game:
1. Did you manage to win?
154 Touchpad Artificial Intelligence (Ver. 2.0)-IX

