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Guide to Intelligent Data Analysis - 9781447125723

GUIDE TO INTELLIGENT DATA ANALYSIS | MAKE SENSE OF REAL DATA | ZUSTAND SEHR GUT

Healthcare Business Intelligence: A Guide to Empowering... - Laura B. Madsen

GUIDE TO INTELLIGENT DATA ANALYSIS: HOW TO INTELLIGENTLY By Michael R. Berthold

Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Dat

Guide to Intelligent Data Analysis: How to Intelligently Make Sense of Real Data

The Definitive Guide to DAX: Business Intelligence with Excel, SSAS and Power BI

Guide to Intelligent Data Analysis How to Intelligently Make Sense of Rea (USED)

The definitive guide to Dax,The: Business intelligence with Microsoft Excel ...

Healthcare Business Intelligence: A Guide to Empowering Successful Data Reportin

Berthold - Guide to Intelligent Data Analysis   How to Intelligently M - T555z

Healthcare Business Intelligence + Website – A Guide to Empowering Successful D…

A Practitioner's Guide to Business Analytics: Using Data Analysis Tools to...

The Executive Guide to Artificial - Hardcover, by Burgess Andrew - Good

Guide to Intelligent Data Science by Michael Berthold

GUIDE TO VULNERABILITY ANALYSIS FOR COMPUTER NETWORKS AND By Simon Parkinson

Wordery

Guide to Intelligent Data Science : Springer : 9783030455736 : 3030455734 : 07 Aug 2020 : 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 statisti

Guide to Intelligent Data Science 9783030455736 (Hardback)

Advances in Biomedical Infrastructure 2013 : Springer : 9783642371363 : 3642371361 : 19 Mar 2013 : Current Biomedical Databases are independently administered in geographically distinct locations, lending them almost ideally to adoption of intelligent data management approaches. This book focuses on research issues, problems and opportunities in Biomedical Data Infrastructure identifying new issues and directions for future research in Biomedical Data and Information Retrieval, Semantics in Biomedicine, and Biomedical Data Modeling and Analysis. The book will be a useful guide for researchers, practitioners, and graduate-level students interested in learning state-of-the-art development in biomedical data management.

Advances in Biomedical Infrastructure 2013 9783642371363 (Hardback)

Databases for Data-Centric Geotechnics : CRC Press : 9781032388731 : 1032388730 : 06 Jan 2025 : Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods.  The first volume pertains to site characterization. The opening chapter presents a deep analysis of site data attributes, including the establishment of a new taxonomy of site data under "4S" (site generalizations, spatial features, sampling characteristics, and smart data) to provide a novel agenda for data-driven site characterization. Type 3 machine learning methods (disruptive value) are possible as sensors become more pervasive and more intelligent. A comprehensive overview of site characterization information is also presented with a focus on its availability, coverage, value to decision making, and challenges. The following 13 chapters then present databases of soil and rock prop

Databases for Data-Centric Geotechnics 9781032388731 (Paperback)

Networked Microgrids : Cambridge University Press : 9781108497657 : 1108497659 : 06 May 2021 : Discover scalable, dependable, and intelligent solutions to the challenges of integrating complex networked microgrids with this definitive guide to the development of cutting-edge power and data systems. Includes advanced fault management control and optimization to enable enhanced microgrid penetration without compromising reliability. Features SDN-based architectures and techniques to enable secure, reliable and fault-tolerant algorithms for resilient networked systems. Provides reachability techniques to facilitate a deeper understanding of microgrid resilience in areas with high penetration of renewables. Combining resilient control, fast programmable networking, reachability analysis, and cyber-physical security, this is essential reading for researchers, professional engineers, and graduate students interested in creating the next generation of data-intensive self-configurable networke

Networked Microgrids By Peng Zhang 9781108497657 (Hardback)

Databases for Data-Centric Geotechnics : CRC Press : 9781032578958 : 1032578955 : 20 Dec 2024 : Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods. This first volume pertains to site characterization. The opening chapter presents an in-depth analysis of site data attributes, including the establishment of a new taxonomy of site data under "4S" (site generalizations, spatial features, sampling characteristics, and smart data) to provide a novel agenda for data-driven site characterization. Type 3 machine learning methods (disruptive value) are possible as sensors become more pervasive and more intelligent. A comprehensive overview of site characterization information is also presented with a focus on its availability, coverage, value to decision making, and challenges. The remaining 13 chapters cover databases of soil and rock proper

Databases for Data-Centric Geotechnics 9781032578958 (Hardback)

Practical Machine Learning for Data Analysis Using Python : Academic Press : 9780128213797 : 0128213795 : 07 Jun 2020 : Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of t

Practical Machine Learning for Data Analysis Using Python (Paperback)

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guide to intelligent data analysis