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The Rolling Stones

Dirty Work (2009 Remastered)

The Rolling Stones' 18th studio album was released in 1986, having been recorded under the toughest possible circumstances. It is astonishing that it was ever made. Less astonishingly, it's a superbly acc…

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CD

Hassam Muazzam
Erkennung von Handgesten mit Hilfe von Computer-Vision-Techniken

Mit Hilfe von Computer-Vision-Techniken und der Veröffentlichung der Microsoft Kinect-Kamera wurde ein Versuch unternommen. Die Aufgabe der Segmentierung wurde unter Verwendung von RGB mit Tiefeninformati…

lieferbar innerhalb 2-3 Wochen

Buch

The Rolling Stones

Dirty Work (remastered) (180g) (Half Speed Master)

The Rolling Stones' 18th studio album was released in 1986, having been recorded under the toughest possible circumstances. It is astonishing that it was ever made. Less astonishingly, it's a superbly acc…

lieferbar innerhalb von 3 Tagen

LP

The Rolling Stones

Dirty Work (SHM-CD) (Papersleeve)

The Rolling Stones' 18th studio album was released in 1986, having been recorded under the toughest possible circumstances. It is astonishing that it was ever made. Less astonishingly, it's a superbly acc…

lieferbar innerhalb 2-3 Wochen

CD

The Rolling Stones

Dirty Work (Limited Japan SHM-CD)

The Rolling Stones' 18th studio album was released in 1986, having been recorded under the toughest possible circumstances. It is astonishing that it was ever made. Less astonishingly, it's a superbly acc…

CD

Matthias Schonlau
Applied Statistical Learning

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical lea…

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Buch

Sergios Theodoridis
Machine Learning

Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian d…

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Buch

Giovanni Cerulli
Fundamentals of Supervised Machine Learning

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applicati…

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Buch

Gareth James, Daniela Witten, Jonathan Taylor, Robert Tibshirani
An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in f…

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Buch

Rui Neves, Manuel Moura
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models …

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Buch

Azhar Ul Haque Sario
Sales Forecasting

Sales Forecasting: Data Science ModelsUnlock the future of sales with the power of data science. This book is your guide to predicting sales across various industries using advanced techniques like:Regres…

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