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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…

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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…

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CD

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…

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LP

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…

Artikel am Lager

CD

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

Azhar Ul Haque Sario
Sales Forecasting

Sales Forecasting: Data Science Models Unlock 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: Re…

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Buch

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…

lieferbar ab 21.4.2025.

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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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 is m…

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