Description: Guide to Intelligent Data Science by Michael R. Berthold, Christian Borgelt, Frank Klawonn, Rosaria Silipo, Frank Höppner Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; Publisher Description Making use of data is not anymore a niche project but central to almost every project. With access to massive compute resources and vast amounts of data, it seems at least in principle possible to solve any problem. However, successful data science projects result from the intelligent application of: human intuition in combination with computational power; sound background knowledge with computer-aided modelling; and critical reflection of the obtained insights and results.Substantially updating the previous edition, then entitled Guide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many data science techniques, and explains how these are used to solve real world problems. The work balances the practical aspects of applying and using data science techniques with the theoretical and algorithmic underpinnings from mathematics and statistics. Major updates on techniques and subject coverage (including deep learning) are included.Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring; includes numerous examples using the open source KNIME Analytics Platform, together with an introductory appendix; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; integrates illustrations and case-study-style examples to support pedagogical exposition; supplies further tools and information at an associated website.This practical and systematic textbook/reference is a "need-to-have" tool for graduate and advanced undergraduate students and essential reading for all professionals who face data science problems. Moreover, it is a "need to use, need to keep" resource following ones exploration of thesubject. Author Biography 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. Details ISBN 3030455769 ISBN-13 9783030455767 Title Guide to Intelligent Data Science Author Michael R. Berthold, Christian Borgelt, Frank Klawonn, Rosaria Silipo, Frank Höppner Format Paperback Year 2021 Pages 420 Edition 2nd Publisher Springer Nature Switzerland AG GE_Item_ID:137658680; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 76.66 USD
Location: Fairfield, Ohio
End Time: 2024-11-04T10:33:40.000Z
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ISBN-13: 9783030455767
Book Title: Guide to Intelligent Data Science
Number of Pages: Xiii, 420 Pages
Publication Name: Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
Language: English
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / Data Mining
Publication Year: 2021
Type: Textbook
Item Weight: 23.4 Oz
Author: Frank Höppner, Rosaria Silipo, Michael R. Berthold, Frank Klawonn, Christian Borgelt
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Item Width: 6.1 in
Series: Texts in Computer Science Ser.
Format: Trade Paperback
