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B.   Long answer type questions.
                     1.   What is Machine Learning? Explain the different types of Machine Learning with examples. List any four applications
                          of Machine Learning.
                     2.   Is AI equivalent to ML? If not, what distinguishes them? Give reasons.

                     3.   Identify and explain the AI domains to which the following belong:
                          a. Snapchat image filters
                          b. Virtual Assistants like Siri and Alexa
                     4.   What is strong AI, and how is it different from weak AI? Give two examples of weak AI.

                     5.   What is labelled data? Explain the use of labelled data in machine learning with the help of an example.
                 C.   Competency-based/Application-based questions:

                     1.   You don’t need give instructions to the Machine Learning Algorithms. Instead, you provide the algorithm tons
                          of examples (for example images) and the algorithm learns from these examples. Which type of AI learning is
                          this?
                     2.   Nowadays robots are equipped with visual sensors using which they learn from their surrounding environment.
                          Identify and define the type of learning.



                                    In Life                                                              Life Skills & Values


                     It is the year 2050, you are working on a project to create a high tech motorbike. Mention 3 features that you
                     think the bike should contain. Try to think from a social and economical perspective, your creation should be able
                     to help the society.




                                Deep Thinking                                                             Critical Thinking


                     Since childhood, we are taught many things. One of these things is that a rose is red in colour. Imagine a scenario in
                     which you are never taught that the colour of a rose is red. How will you process this information and how will you
                     arrive at the conclusion that the colour of a rose is red?





                                 Lab                                                                   Experiential Learning




                          Practical on Supervised Learning
                          1.   Open Google’s Teachable Machine
                               Choose the image project. Upload at least 10 images of ‘Taj Mahal’ in Class 1 and 10 images of Qutub Minar
                               in Class 2. Train your model. Now test your model by uploading the image of Red Fort. What percentage of
                               the Red Fort image matches Taj Mahal or Qutub Minar? What do you infer from this?
                               (https://teachablemachine.withgoogle.com)







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