Titlebook: Business Analytics for Professionals; Alp Ustundag,Emre Cevikcan,Omer Faruk Beyca Book 2022 The Editor(s) (if applicable) and The Author(s

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The Semiotics of Social Identity,tions, statistical inference, and Bayesian statistics are explained. Along with theory, practical applications on a sample data set are provided. Applications are performed using the following Python libraries: Pandas, Seaborn, and Statmodels.

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Motivations for an Internalist Semantics,model complexity and establish simple, accurate and robust models. Feature engineering is the process of using domain knowledge to extract input variables from raw data, prioritize them and select the best ones so that machine learning algorithms work well and model performance is improved.

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Husserl’s Critique of Double Judgmentsture using large amounts of data. In this process, prescriptive analytics combines the output of predictive analytics and uses artificial intelligence, optimization algorithms, and expert systems to provide adaptive, automated, constrained, time-bound, and optimal decisions, thus having the potentia

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Introduction: The Proscriptive Principle,a platforms, our phones and computers, healthcare gadgets and wearable technology, scientific instruments, financial institutions, the manufacturing industry, news channels and more. When these small and wide data are analyzed, it offers businesses the opportunity to take quick action in business-de

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Agents and Patients in Dickens,product or service in order to reduce costs and avoid shortages. Supply chain analytics is the term that refers to the analytical decision-making processes using huge amount of data generated through the supply chain. Analytics in the supply chain is a critical component of SCM. Descriptive, predict

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Agency and Scene in Jane Austen,eliver value to profitable customers. It involves internal business processes and functions (such as marketing, sales) as well as external influences (such as competitors). CRM systems collect, analyze and model information about customers using data science methods at all stages of their life cycle

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Meaning of Taboos Using Counterfactual Logicelping companies reduce risk and make more efficient financial decisions. Machine learning and advanced analytics are used in several financial applications such as fraud detection and prevention systems, credit risk modelling, financial statement analysis, algorithmic trading, robo-advisory systems

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https://doi.org/10.1007/978-3-030-93823-9Business Analytics; Data Science; Intelligent Automation; Big Data; Machine Learning