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Showing posts with the label The Machine Learning Landscape

Machine Learning1: UNIT 1 (A) NOTEs : The Machine Learning Landscape NOTEs

  Unit I The Machine Learning Landscape 1.      What Is Machine Learning? 2.      Why Use Machine Learning? 3.      Types of Machine Learning Systems 4.      Supervised/Unsupervised Learning 5.      Batch and Online Learning 6.      Instance-Based Versus Model-Based Learning    

About Machine Learning

  Machine Learning πŸ‘‰    About Machine Learning 1 The Machine Learning Landscape Classification Support Vector Machines Decision Trees Ensemble Learning and Random Forests Dimensionality Reduction Clustering πŸ‘‰   About Machine Learning 2   Introduction Concept Learning and the General to Specific Ordering Decision   Tree   Learning Artificial Neural Networks Bayesian Learning Instance-Based Learning Genetic Algorithms Learning Sets of Rules Analytical   Learning Reinforcement Learning πŸ‘‰  About Machine Learning 3 Introduction  Data Pre-processing Performance measurement of models  Supervised Learning  Decision Tree Learning  Unsupervised Learning  Ensemble Models πŸ‘‰  Machine Learning MCQs πŸ‘‰  Machine Learning Programs