Titlebook: Machine Learning with Python; Theory and Implement Amin Zollanvari Textbook 2023 The Editor(s) (if applicable) and The Author(s), under exc

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Amin Zollanvarie excitations, the excitonic polaritons. It helps to obtain evidence for the predictions made by Hopfield and others of some extraordinary properties of these objects. Let us mention, for instance, the dispersive, multiple Brillouin peaks, the AS/S ratio in RBS larger than unity, the disappearence o

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Amin Zollanvarie excitations, the excitonic polaritons. It helps to obtain evidence for the predictions made by Hopfield and others of some extraordinary properties of these objects. Let us mention, for instance, the dispersive, multiple Brillouin peaks, the AS/S ratio in RBS larger than unity, the disappearence o

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Getting Started with Python,iven such an important role of Python for machine learning, this chapter provides a quick introduction to the language. The introduction is mainly geared toward those who have no knowledge of Python programming but are familiar with programming principles in another (object oriented) language; for e

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Three Fundamental Python Packages,ious Python data science libraries including Scikit-Learn, which will be extensively used in Chapters 4-12. Another useful library for data analysis is pandas, which is built on top of NumPy. This package particularly facilitates working with tabular data. Last but not least is the matplotlib, which

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Linear Models,halogram (EEG) classification, speech recognition, face recognition, to just name a few. Their popularity in various applications is mainly attributed to one or a combination of the following factors: 1) their simple structure and training efficiency; 2) interpretability; 3) matching their complexit

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