Abstract
This chapter contains sections titled: Introduction Supervised, Unsupervised, and Semisupervised Machine Learning Traditional Learning Methods and History of Machine Learning What Is Machine Learning? Machine-Learning Problem Learning Paradigms Machine-Learning Techniques and Paradigms What Is Reinforcement Learning? Reinforcement Function and Environment Function Need of Reinforcement Learning Reinforcement Learning and Machine Intelligence What Is Systemic Learning? What Is Systemic Machine Learning? Challenges in Systemic Machine Learning Reinforcement Machine Learning and Systemic Machine Learning Case Study Problem Detection in a Vehicle Summary Reference ]]>
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