Springer Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
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| Publisher | Springer |
| ISBN 13 | 9783030455736 |
| ISBN 10 | 3030455734 |
| Author | Michael R Berthold |
| Language | English |
| Book Description | This is a systematic overview and classification of tasks in data analysis, methods to solve them and typical problems encountered. The book combines views from classical and non-classical statistics like Bayesian inference and robust statistics. |
| About the Author | Prof. Dr. Michael R. Berthold is Professor for Bioinformatics and Information Mining in the Department of Computer Science at the University of Konstanz, Germany.Prof. Dr. Christian Borgelt is Professor for Data Science in the departments of Mathematics and Computer Sciences at the Paris Lodron University of Salzburg, Austria; he also co-authored the Springer textbook, Computational Intelligence.Prof. Dr. Frank Höppner is Professor of Information Engineering in the Department of Computer Science at Ostfalia University of Applied Sciences, Wolfenbüttel, Germany.Prof. Dr. Frank Klawonn is Professor for Data Analysis and Pattern Recognition at the same institution and head of the Biostatistics Group at the Helmholtz Centre for Infection Research, Braunschweig, Germany; he has authored the Springer textbook, Introduction to Computer Graphics.Dr. Rosaria Silipo is a Principal Data Scientist and Head of Evangelism at KNIME AG, Zurich, Switzerland. |
| Publication Date | 7 August 2020 |
| Number of Pages | 420 pages |
Springer Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
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