Titlebook: MATLAB Deep Learning; With Machine Learnin Phil Kim Book 2017 Phil Kim 2017 Deep Learning.machine learning.AI.artificial inteligence.big da

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tice. The book helps academics, business school management, and even advanced students understand how to bring a practical focus to learning and teaching business via a holistic curriculum. The book also features a special focus on how to integrate family business perspectives to the curriculum.978-3-031-14563-6978-3-031-14564-3

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https://doi.org/10.1007/978-1-4842-2845-6Deep Learning; machine learning; AI; artificial inteligence; big data; analytics; MATLAB; programming

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Neural Network and Classification,Classification is used to determine the group the data belongs. Some typical applications of classification are spam mail filtering and character recognition. In contrast, regression infers values from the data. It can be exemplified with the prediction of income for a given age and education level.

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Deep Learning,You don’t need to be nervous though. As Deep Learning is still an extension of the neural network, most of what you previously read is applicable. Therefore, you don’t have many additional concepts to learn.

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Neural Network,nt and a vast amount of achievement from research works. There are many books available that purely focus on the neural network. Along with the recent growth in interest for Deep Learning, the importance of the neural network has increased significantly as well. We will briefly review the relevant a