Titlebook: Statistics with Julia; Fundamentals for Dat Yoni Nazarathy,Hayden Klok Book 2021 Springer Nature Switzerland AG 2021 Julia Programming Lang

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.In fact, it was not psychologism, what prevented psychologists like Sigwart, Wundt, or Vasil ’ev to go the way to the new logic, but their inability to leave the traditional paradigms of formal logic, their inability to come to precise formal explications of their non-classical logical ideas.

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2365-5674 ers. It makes heavy use of over 200 code examples to illustrate dozens of key statistical concepts. The Julia code, written in a simple format with parameters that can be easily modified, is also available for 978-3-030-70903-7978-3-030-70901-3Series ISSN 2365-5674 Series E-ISSN 2365-5682

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Basic Probability,robability. It is important to note that most of the probabilistic analysis carried out in statistics is based on distributions of random variables. These are introduced in the next chapter. In this chapter we focus solely on probability, events, and the simple mathematical setup of a random experim

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Machine Learning Basics,ng, and regression analysis. With such tasks, the focus is often on the model, its properties, and interpretation of inference. However, paradigms arising in. introduce additional data focused tasks, some of which are related to classical statistical tasks and others involving automated analysis of.

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2365-5674 tics of professionals that are already working in data scienThis monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data science, and artificial intelligence. The text