Page 208 - AI Ver 3.0 class 10_Flipbook
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At a Glance


                    • Artificial Intelligence (AI) is a fast-growing technology that allows machines to do tasks that usually need human
                    intelligence, like learning, solving problems, and making decisions.
                    • ML stands for Machine Learning, which is a subset of Artificial Intelligence. It uses statistical methods to enable
                    machines to learn and improve from experience without being explicitly programmed
                    • DL stands for Deep Learning. It is a subset of Machine Learning inspired by the structure and function of neurons
                    in the human brain, leading to the development of Artificial Neural Networks (ANNs).
                    • Marked or tagged data, which easily identifiable is called labelled data.
                    • Data that is not marked/tagged is called unlabelled data.
                    • A collection of data provided to a machine learning model to help it analyse and learn patterns is called training data.
                    • The testing data set is a collection of data provided to a machine learning model to evaluate how well it has learned
                    to make predictions.
                    • AI Modelling refers to developing algorithms, also called models which can be trained to get intelligent outputs.
                    That is, writing codes to make a machine artificially intelligent. The model is trained using data.
                    • Supervised Learning is a type of machine learning where a model is trained on a labelled dataset.
                    • Unsupervised learning approach works on an unlabelled dataset. The machine receives random data with no prior
                    knowledge available to the trainer.
                    • Reinforcement Learning is a type of machine learning where a model learns through trial and error to make the
                    best decisions in a given environment.
                    • Classification is a rule-based AI model that groups data into categories
                    • Regression algorithms predict continuous values (e.g., income, house price, temperature, car price).
                    • Clustering is a machine learning technique that divides a dataset into distinct clusters or categories using algorithmic
                    patterns.
                    • Association is an unsupervised learning method that is used to find interesting relationships or patterns among
                    variables in a dataset.
                    • Neural Networks are loosely modelled after how neurons in the human brain behave. The key advantage of Neural
                    Networks is that they are able to extract data features automatically without needing the input of the programmer.


                                                           Exercise



                                                       Solved Questions


                                                SECTION A (Objective Type Questions)
                     uiz

              A.  Tick ( ) the correct option.

                  1.  Machine Learning focuses on ……….……................ .
                    a.  Building Circuits                              b.  Learning from Data
                    c.  Simulating Emotions                            d.  Physical Robots

                  2.  Which of these is an application of Machine Learning?
                    a.  Building databases                             b.  Writing programming code

                    c.  Manual data processing                         d.  Recommendation systems

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