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    Now, let’s explore another type of learning.
                     Instead of explicitly programming rules such as "if this happens, then do that", we let the system

                     discover patterns or rules by itself that help solve the problem.
                     How do humans make decisions?
                     For example, imagine we are preparing a glass of lemonade, but we don’t know exactly how

                     much sugar to add.
                     Instead of following a strict rule, we taste the lemonade after adding some sugar, then adjust the
                     amount based on how sweet it is. Over time, we learn the best amount of sugar for our taste by

                     trying, observing and adapting.
                     This process of learning from experience rather than following fixed rules is similar to how some
                     AI systems learn and improve.

                       Time of lemonade making              Amount of sugar added                Taste of lemonade
                      First time                      Very little sugar (quarter teaspoon)    Not sweet enough
                      Second time                     Too much sugar (two teaspoons)          Too sweet

                      Third time                      Moderate sugar (one teaspoon)           Just the right sweetness
                      Fourth time                     Moderate sugar (one teaspoon)           Just the right sweetness

                                                                                                 21 st
                                                                                                Century   #Media Literacy
                                                                                                 Skills
                               Video Session

                         Watch the video of "How does ARTIFICIAL INTELLIGENCE work?" at the
                         given link:
                         https://www.youtube.com/watch?v=fLcZRDiQyNY OR  scan the  QR code
                         and answer the following questions:

                         1.  How do characters in the video decide which direction to take?

                         2.  What do the different colours in the video represent?

                         3.  How does Rule-Based AI use predefined rules to reach a destination?

                     Learning-Based AI
                     A learning-based approach is when a machine learns by itself from the data it receives, instead

                     of following fixed rules made by a person. When the data is unlabelled or random, the machine
                     looks for similarities and groups similar data together.

                                                                                     Stages of AI Project Cycle
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