Data Science Ethics. Concepts, Techniques, and Cautionary Tales, Paperback - ***

Anti-Oppressive Education in "Elite" Schools. Promising Practices and Cautionary Tales From the Field, Paperback - Paul C. Gorski imagine

Anti-Oppressive Education in "Elite" Schools. Promising Practices and Cautionary Tales From the Field, Paperback - Paul C. Gorski

379,99 RON
Brings together a diverse group of experts who are researching, theorizing, and enacting anti-oppressive education in 'elite' schooling environment...
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DescriptionBetter Branding, Better Benefits Marketing techniques, retailers, and distribution channels have changed dramatically since authors RICK...
advantage media group, carti, carte straina, economics
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Econometrics and Data Science. Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems, 1st ed., Paperba imagine

Econometrics and Data Science. Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems, 1st ed., Paperba

185,99 RON
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apress, carti, carte straina, computing & information technology
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This inaugural volume on a topic of increasing importance collates research on databases, statistics, information retrieval, data mining and machin...
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Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Mode, Hardcove imagine

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ationa publications, carti, carte straina, computing & information technology
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Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights, Paperback - Joanne Rodrigues imagine

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Reducere. This guide shows how to combine data science with social science to gain unprecedented insight into customer behavior, so you can change it. Joanne...
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Quantitative Analysis for System Applications: Data Science and Analytics Tools and Techniques, Paperback - Daniel McGrath imagine

Quantitative Analysis for System Applications: Data Science and Analytics Tools and Techniques, Paperback - Daniel McGrath

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DescriptionAs data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, ...
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