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    TECH
                         T      ¢   Raw data: Unprocessed data that needs cleaning and organising before analysis.
                         E
                         R      ¢   Machine  Learning  (ML): A type  of AI that  allows systems  to  learn and improve from
                        M
                         S         experience without being explicitly programmed.
                                    Sensors: Devices that detect and measure physical properties like temperature, motion
                                ¢
                                   or light and convert them into data.

                      REWIND RUN

                      «   AI enables machines to perform tasks like speaking, thinking and problem-solving.
                      «   Data science is the study of data that helps you gather, organise and understand it to find practical
                         solutions.
                      «   Data refers to a collection of facts and information in various forms, such as numbers, text, sound or
                         images.
                      «   Natural Language Processing (NLP) is a field of artificial intelligence (AI) that focuses on the interaction
                         between computers and human language.

                      «   Computer vision is a field of AI that enables machines to see and understand images, objects and
                         actions, similar to human vision.

                                                 LEARNING LOGS

                      A.  Tick ( ) the correct option.
                         1.  Choose the domain of AI that focuses on the interaction between computers and human language.

                                    (i)  Natural Language Processing          (ii)  Computer Vision

                                   (iii)  Data Science                        (iv)  Robotics
                         2.  Identify the type of data that is organised in a specific format.

                                    (i)  Unstructured Data                    (ii)  Semi-structured Data

                                   (iii)  Structured Data                     (iv)  Raw Data
                         3.  Mark the technology that enables machines to see and understand images, objects and actions.

                                    (i)  Natural Language Processing          (ii)  Machine Learning

                                   (iii)  Computer Vision                     (iv)  Voice Assistants

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