Titlebook: Machine and Deep Learning in Oncology, Medical Physics and Radiology; Issam El Naqa,Martin J. Murphy Book 2022Latest edition Springer Natu

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NATAL

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What Are Machine and Deep Learning?s a subcategory of machine learning that allows computers to learn directly from the raw data without the need for human-engineered features. These algorithms are becoming the workhorse in the new era of .. Techniques based on machine and deep learning have been applied successfully in diverse field

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Computational Learning Theoryappropriate learning algorithm for a particular task. In this chapter, we present the main theoretical frameworks for machine learning algorithms: probably approximately correct (PAC) and Vapnik–Chervonenkis (VC) dimension. In addition, we discuss the new underlying principles of deep learning. Thes

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Conventional Machine Learning Methodshese various learning objectives can commonly be formulated in theoretical nomenclatures. This chapter introduces different conventional machine learning algorithms that could cater to readers’ specific learning goals. We intend to provide conceptual outlines of some of the widely used algorithms wi

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Quantum Computing for Machine Learning to overcome current challenges in classical machine learning. It utilizes principles of quantum mechanics long known in physics such as superposition and entanglement to perform more efficient and potentially more advanced computational tasks beyond what current classical algorithms can offer. In t

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