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Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767
Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767
Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767
Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767
Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767
Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767

Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767

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Guide to Intelligent Data ScienceHow to Intelligently Make Use of Real Data\nAuthor(s): Michael R. Berthold, Christian Borgelt, Frank Hppner, Frank Klawonn, Rosaria Silipo\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030455767, 978-3030455767\nSynopsis\nMaking 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.\n\nSubstantially updating the previous edition, then entitledGuide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many d.

Guide to Intelligent Data Science by Michael R. Berthold, Chr... - 9783030455767

Guide to Intelligent Data ScienceHow to Intelligently Make Use of Real Data\nAuthor(s): Michael R. Berthold, Christian Borgelt, Frank Hppner, Frank Klawonn, Rosaria Silipo\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783030455767, 978-3030455767\nSynopsis\nMaking 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.\n\nSubstantially updating the previous edition, then entitledGuide to Intelligent Data Analysis, this core textbook continues to provide a hands-on instructional approach to many d.

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