The Basics Of Working With Knime Analytics Platform
DOWNLOAD
Download The Basics Of Working With Knime Analytics Platform PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Basics Of Working With Knime Analytics Platform book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
The Basics Of Working With Knime Analytics Platform
DOWNLOAD
Author : Barbora Štětinová
language : en
Publisher: Barbora Štětinová
Release Date : 2024-01-01
The Basics Of Working With Knime Analytics Platform written by Barbora Štětinová and has been published by Barbora Štětinová this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Computers categories.
Unlock the power of data with KNIME and transform your analytics skills - no programming required! In a world driven by data, mastering the right tools can be your greatest advantage. The Basics of Working with KNIME Analytics Platform is your ultimate guide to navigating and harnessing the full potential of KNIME, one of the most powerful and user-friendly platforms for data analysis and machine learning. Written by data analytics expert Barbora Štětinová, this comprehensive guide simplifies complex data processes through hands-on examples and practical workflows. Whether you're a business analyst, a data science enthusiast, or a professional looking to automate your data tasks, this book equips you with the knowledge to transform data into actionable insights. What You'll Learn: Effortless Data Preparation: Load, filter, and transform data with simple drag-and-drop nodes, eliminating the need for coding.Powerful Data Manipulation: Master techniques for data joining, aggregation, and cleaning to make your data analysis efficient and accurate.Insightful Data Visualization: Create compelling charts and dashboards to communicate your findings effectively.Machine Learning Made Easy: Build predictive models and deploy them using KNIME's intuitive interface, complete with real-world examples.Best Practices and Tips: Discover expert tips for optimizing your workflows and learn how to handle common challenges in data analytics. With easy-to-follow explanations, step-by-step guides, and engaging examples, this book turns beginners into proficient KNIME users and empowers experienced professionals to expand their analytical capabilities. By the end, you'll be able to create, evaluate, and deploy sophisticated data workflows that drive value and insight across your projects. Get ready to revolutionize your data analytics journey with KNIME!
Basics In Business Informatics
DOWNLOAD
Author : Peter Weber
language : en
Publisher: Springer Nature
Release Date : 2022-08-04
Basics In Business Informatics written by Peter Weber and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-04 with Computers categories.
This book takes you on a journey into the world of business informatics. It has a modular structure and covers the key aspects of business informatics. Besides the thematic introductions, each chapter includes excursuses, review questions, and practical exercises, for which solutions are provided in a separate chapter. The book concludes with two teaching cases on digital transformation. It is designed for students and lecturers at universities and technical colleges, but also as a resource for IT trainings.
Guide To Intelligent Data Science
DOWNLOAD
Author : Michael R. Berthold
language : en
Publisher: Springer Nature
Release Date : 2020-08-06
Guide To Intelligent Data Science written by Michael R. Berthold and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
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 one's exploration of the subject.
Fundamentals Of Machine Learning For Predictive Data Analytics
DOWNLOAD
Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2015-07-31
Fundamentals Of Machine Learning For Predictive Data Analytics written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-31 with Computers categories.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
The Routledge Handbook Of Artificial Intelligence And Philanthropy
DOWNLOAD
Author : Giuseppe Ugazio
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-07
The Routledge Handbook Of Artificial Intelligence And Philanthropy written by Giuseppe Ugazio and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-07 with Business & Economics categories.
The Routledge Handbook of Artificial Intelligence and Philanthropy acts as a catalyst for the dialogue between two ecosystems with much to gain from collaboration: artificial intelligence (AI) and philanthropy. Bringing together leading academics, AI specialists, and philanthropy professionals, it offers a robust academic foundation for studying both how AI can be used and implemented within philanthropy and how philanthropy can guide the future development of AI in a responsible way. The contributors to this Handbook explore various facets of the AI‐philanthropy dynamic, critically assess hurdles to increased AI adoption and integration in philanthropy, map the application of AI within the philanthropic sector, evaluate how philanthropy can and should promote an AI that is ethical, inclusive, and responsible, and identify the landscape of risk strategies for their limitations and/or potential mitigation. These theoretical perspectives are complemented by several case studies that offer a pragmatic perspective on diverse, successful, and effective AI‐philanthropy synergies. As a result, this Handbook stands as a valuable academic reference capable of enriching the interactions of AI and philanthropy, uniting the perspectives of scholars and practitioners, thus building bridges between research and implementation, and setting the foundations for future research endeavors on this topic. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Predictive Analytics For Marketers
DOWNLOAD
Author : Barry Leventhal
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-02-03
Predictive Analytics For Marketers written by Barry Leventhal and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-03 with Business & Economics categories.
Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics can be used to successfully achieve a range of business purposes.
New Advances In Information Systems And Technologies
DOWNLOAD
Author : Álvaro Rocha
language : en
Publisher: Springer
Release Date : 2016-03-15
New Advances In Information Systems And Technologies written by Álvaro Rocha and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-15 with Technology & Engineering categories.
This book contains a selection of articles from The 2016 World Conference on Information Systems and Technologies (WorldCIST'16), held between the 22nd and 24th of March at Recife, Pernambuco, Brazil. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radiocommunications.
Big Data
DOWNLOAD
Author : Parvati Mishra
language : en
Publisher: Educohack Press
Release Date : 2025-01-07
Big Data written by Parvati Mishra and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Big Data: Revolutionizing the Future delves into how big data has become a dominant paradigm, transforming various sectors and reshaping society. This book, divided into 13 chapters, provides a thorough examination of big data, discussing its applications, growth, and potential. We explore how big data approaches can revolutionize both business and health sectors, while also addressing the risks associated with datafication. Chapters 11 to 13 focus on the growth of big data in different sectors, detailing the expanding market and advancements in big data analytics. Chapters 5 to 10 offer insightful examples of big data's transformative potential. This book emphasizes the importance of grounding these perspectives in existing scientific methods to enhance their practical applicability. We also discuss the comprehensive understanding that comes from analyzing all available data, illustrating this with empirical examples. Big Data: Revolutionizing the Future presents a clear, accessible narrative, enriched with a wide range of examples, to help readers grasp the full implications and opportunities of big data.
Icosmi 2020
DOWNLOAD
Author : Eko Ruddy Cahyadi
language : en
Publisher: European Alliance for Innovation
Release Date : 2020-09-14
Icosmi 2020 written by Eko Ruddy Cahyadi and has been published by European Alliance for Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-14 with Social Science categories.
This book is the proceeding of the International Conference on Sustainable Management and Innovation (ICoSMI 2020) that was successfully held on 14-16 September 2020 using an online platform. The conference was mainly organized by the Department of Management IPB University in collaboration with Leibniz University of Hannover, Universiti Putera Malaysia, Kasetsart University, Tun Hussein Onn University of Malaysia, Tamil Nadu Teachers Education University, Deakin University, University of Adelaide, Forum Manajemen Indonesia, FE Pakuan University, FE Gajah Mada University FEB University of North Sumatra and FEB Andalas University, SBM Bandung Institute of Technology, FEB Lampung University, Perbanas Institute Jakarta, FE Bina Nusantara University, and SBE Prasetiya Mulya University. This conference has brought academic researchers, business practitioners as well as graduate students together to exchange their experiences and research results about most aspects of innovation and sustainability, and discuss the practical challenges encountered and the solutions adopted. About 402 delegates across the world including Indonesia, Malaysia, Thailand, Spain, China, and India have attended and presented their research works in the conference. The proceeding consists of 80 high-quality papers that were selected from more than 250 submitted papers. The papers are classified into 12 themes, namely Finance for Sustainability, Industry 4.0 and Future Business Sustainability, Policy and Strategy for Sustainable Innovation and Supply Chain, Smart Agriculture Management for Environmental Sustainability, and Sustainable Human Resources. Finally, we would like to express the greatest thanks to all colleagues in the steering and organizing committee for their cooperation in administering and arranging the conference as well as reviewers for their academic works and commitment to reviewing papers.
Decision Support System
DOWNLOAD
Author : Susmita Bandyopadhyay
language : en
Publisher: CRC Press
Release Date : 2023-03-13
Decision Support System written by Susmita Bandyopadhyay and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Business & Economics categories.
This book presents different tools and techniques used for Decision Support Systems (DSS), including decision tree and table, and their modifications, multi-criteria decision analysis techniques, network tools of decision support, and various case-based reasoning methods supported by examples and case studies. Latest developments for each of the techniques have been discussed separately, and possible future research areas are duly identified as intelligent and spatial DSS. Features: Discusses all the major tools and techniques for Decision Support System supported by examples. Explains techniques considering their deterministic and stochastic aspects. Covers network tools including GERT and Q-GERT. Explains the application of both probability and fuzzy orientation in the pertinent techniques. Includes a number of relevant case studies along with a dedicated chapter on software. This book is aimed at researchers and graduate students in information systems, data analytics, operation research, including management and computer science areas.