Artificial Intelligence Machine Learning

1 CurriculumArtificial Intelligence & Machine LearningTechnophilia | Making Technology Easy and Accessible CURRICULUM STRUCTUREThe Program : Artificial IntelligenceThe CUrriculum : Artificial IntelligenceSESSION 1 Arti cial Intelligence is one the very crucial branch of computer Science which aims at the generation of Intelligence among the electronic machines. So it can be inferred in the simple way as a way of making a computer controlled-robot, or a software which will be having the ability of thinking intelligently exactly in the similar way as human does. AI is a way of making a computer, a comput-er-controlled robot, or a software thinks intelligently, in the similar manner the intelligent humans think .Initially , the thorough study of the human brain is done that how it thinks ,decides,learn new things and acts upon the various di erent stimuliand then the outcomes are used as a basis of developing intelli-gence like human in the machines Implementation of Human Intelligence in Machines Creating systems that understand, think, learn, and behave like this workshop, each session will be held tentatively of three to four hours.

2 The very details of the sessions are given below:Introduction Of Arti cial IntelligenceIntroduction of Arti cial Intelligence and Machine LearningBrief introduction to Machine Learning for AIClassi cation of Machine Learning and Deep LearningDi erence between Machine Learning and Arti cial IntelligenceMachine Learning TechniquesTypes of LearningMachine Learning System DesignSupervised Learning - Regression Classi cationFuture scope, Machine Learning And Arti cial IntelligenceTechnophilia | Making Technology Easy and Accessible CURRICULUM STRUCTURESESSION 2 PythonIntroduction to python Conditional StatementsLooping, Control StatementsLists, Tuple ,DictionariesFunctionsInstalling PackagesJupyter notebookSESSION 3 Working on Various Python LibraryMachine LearningInstalling library and packages for Machine Learning and data scienceMatplotlibScipy and NumpyPandasIPython toolkitScikit-learnSESSION 4 Logistic RegressionLinear RegressionK-Means ClusteringSupport Vector Machines (SVM)k-Nearest Neighbors (KNN)

3 Algorithm for classi cationTechnophilia | Making Technology Easy and Accessible CURRICULUM STRUCTURESESSION 5 Deep LearningWhat is Deep LearningWhy Deep LearningNeural NetworksTypes of Deep LearningArti cial Neural NetworkSESSION 6 Introduction Neural NetworkBASIC introduction NeuronThe Neuron DiagramNeuron ModelsActivation functionBinary Step Function Linear Function SigmoidTanhRELUL eaky ReLU single-layer feed-forwardmulti-layer feed-forwardFeedforward Neural NetworksTechnophilia | Making Technology Easy and Accessible CURRICULUM STRUCTURESESSION 7 ProjectsClassifying MNIST digits using Random ForestCustomer churn prediction using ANNI mage Segmentation using openCvFace Detection using Haar CascadesMaking snapchat Filters