Page 132 - Ai_V3.0_c11_flipbook
P. 132

•  Lack of explainability: Some AI models, especially complex ones, lack transparency in their decision-making, thus,
                 making it difficult to understand how models arrive at the outputs.
                 •  Data privacy and security: The extensive collection and use of data for AI development raise concerns about data
                 privacy and potential security vulnerabilities.
                 • Bias in data: AI systems can inherit biases present in the training data, leading to biased outcomes.


                        At a Glance


                    •  Artificial Intelligence is a branch of computer science by which we can create intelligent machines which can
                     behave like a human, think like humans, and able to make decisions.
                    •  There are three types of AI—Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Super
                     Intelligence
                    •  All AI-based methods built till date fall in the category of ANI.
                    •  Data is a collection of raw facts and figures. Data can be structured, semi-structured, and unstructured.

                    •  Machine  learning  is  an  application  of  artificial  intelligence  that  provides  systems  with  the  ability  to
                     automatically learn and improve from experience without being explicitly programmed.

                    •  There are three types of machine leaning—supervised, unsupervised, and reinforcement.
                    •  Deep learning is a subset of ML. In DL, models are trained by using a large set of labelled data and neural
                     network architectures that contain many layers.
                    •  Cognitive  computing  is  smart  decision  support  system,  using  better  data  and  better  algorithms  to
                     understand and simulate human behaviour.
                    •  Data science involves studying data to extract valuable insights for businesses.
                    •  Natural Language Processing (NLP), is an area of artificial intelligence that employs natural language for
                     interaction between computers and humans.
                    •  Computer vision is a branch of AI that involves extracting information from digital images such as videos
                     and photographs, analysing them, and understanding their content.




                                                           Exercise




                                                       Solved Questions


                                                SECTION A (Objective Type Questions)
                        uiz

              A.   Tick ( ) the correct option.
                   1.   In             , a machine is trained with a huge amount of data, which helps it to train itself on the data.
                        a.  Supervised Learning                        b.  Deep Learning
                        c.  Classification                             d.  Unsupervised Learning

                   2.   Cognitive systems include self-learning technologies that use     , and NLP to understand how the
                       human brain works.

                        a.  data warehousing                           b.  data mining
                        c.  data storage                               d.  data collection

                    130     Touchpad Artificial Intelligence (Ver. 3.0)-XI
   127   128   129   130   131   132   133   134   135   136   137