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3.   How does Weak Al differ from Strong AI?
                          a.   Weak Al contains basic information like programmed response while Strong Al contains high cognitive
                             information like the ability to reason.
                          b.  Weak AI is a developing type of intelligence while Strong Al is already established.
                          c.  Strong Al is better than weak AI because it is an improved version.
                          d.  Strong Al is widely used as compared to Weak AI.
                     4.   Deepsense.ai [helps companies implement AI-powered solutions] participated in the 'Learning to run' initiative,
                          which  sought  to  teach  a  computer  program  to  operate  entirely  on  its  own.  This  sophisticated  and  accurate
                          musculoskeletal model was created by the Stanford Neuromuscular Biomechanics Laboratory and is called the
                          runner. In order to create a new generation of prosthetic legs that automatically identify people's walking patterns
                          and adjust themselves to make movement simpler and more efficient, the agent must first learn how to run. Which
                          type of machine learning does the model employ?
                          a.  Supervised learning                        b.  Unsupervised learning

                          c.  Reinforcement learning                     d.  Deep learning
                     5.                  extracts information from the spoken and written words using algorithms.
                          a.  Machine learning                           b.  Computer vision
                          c.  Data science                               d.  Natural language processing

                     6.                  helps develop intelligent machines and software that learn, function, and react like humans.
                          a.  Deep Learning                              b.  Machine Learning
                          c.  Artificial Intelligence                    d.  Robotics
                     7.   What is the primary goal of data science?
                          a.  Automating tasks                           b.  Extracting meaningful insights from data

                          c.  Enhancing computer vision                  d.  Developing machine learning algorithms
                     8.     What type of machine learning algorithm focuses on finding hidden patterns or structures in data without explicit
                          guidance?
                          a.  Supervised learning                        b.  Unsupervised learning
                          c.  Reinforcement learning                     d.  Deep learning
                     9.   Which one of the following is the benefits of AI?

                          a.  Job displacement
                          b.  Lack of transparency in decision-making
                          c.  Improved decision-making through data analysis
                          d.  Data privacy and security concerns

                     10.  Which type of AI algorithm mimics the way the human brain processes data?
                          a.  Supervised learning                        b.  Unsupervised learning
                          c.  Reinforcement learning                     d.  Deep learning

                 B.   Fill in the blanks.
                     1.                  is often applied in situations requiring a series of decisions, such as playing games, or managing
                          financial portfolios.
                     2.   Three types of data are          ,               and               .
                     3.   The term “Artificial Intelligence” was coined by     .
                     4.   In supervised learning, the goal is to learn a mapping function from input variables to output variables so the model
                          can make predictions on             data.

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