Data Mining

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Publisher : Morgan Kaufmann
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ISBN 10 : 9780128043578
Pages : 654 pages
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Rating : 4.4/5 (43 users download)


Download Data Mining by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads. Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book


Data Mining

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Publisher : Morgan Kaufmann
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ISBN 10 : 1558605525
Pages : 371 pages
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Rating : 4.5/5 (558 users download)


Download Data Mining by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads. This book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations. Clearly written and effectively illustrated, this book is ideal for anyone involved at any level in the work of extracting usable knowledge from large collections of data. Complementing the book's instruction is fully functional machine learning software.


Data Mining

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ISBN 10 : OCLC:804691763
Pages : 629 pages
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Rating : 4./5 ( users download)


Download Data Mining by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads.


Data Mining: Practical Machine Learning Tools And Techniques, 2E

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ISBN 10 : 8131200507
Pages : pages
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Rating : 4.3/5 (131 users download)


Download Data Mining: Practical Machine Learning Tools And Techniques, 2E by Ian H.Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining: Practical Machine Learning Tools And Techniques, 2E by Ian H.Witten. This book is available in ePub and PDF format with a single click unlimited downloads.


Data Mining: Practical Machine Learning Tools and Techniques

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Publisher : Elsevier
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ISBN 10 : 9780080890364
Pages : 664 pages
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Rating : 4.9/5 (89 users download)


Download Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads. Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization


Data Mining

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Publisher : Elsevier
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ISBN 10 : 008047702X
Pages : 560 pages
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Rating : 4.8/5 (8 users download)


Download Data Mining by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads. Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods Performance improvement techniques that work by transforming the input or output


Generatives Deep Learning

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ISBN 10 : OCLC:1151051275
Pages : 310 pages
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Download Generatives Deep Learning by David Foster PDF/Ebook Free clicking on the below button will initiate the downloading process of Generatives Deep Learning by David Foster. This book is available in ePub and PDF format with a single click unlimited downloads. Generative Modelle haben sich zu einem der spannendsten Themenbereiche der Künstlichen Intelligenz entwickelt: Mit generativem Deep Learning ist es inzwischen möglich, einer Maschine das Malen, Schreiben oder auch das Komponieren von Musik beizubringen - kreative Fähigkeiten, die bisher dem Menschen vorbehalten waren. Mit diesem praxisnahen Buch können Data Scientists einige der eindrucksvollsten generativen Deep-Learning-Modelle nachbilden wie z.B. Generative Adversarial Networks (GANs), Variational Autoencoder (VAEs), Encoder-Decoder- sowie World-Modelle. David Foster veranschaulicht die Funktionsweise jeder Methode, beginnend mit den Grundlagen des Deep Learning mit Keras, bevor er zu einigen der modernsten Algorithmen auf diesem Gebiet vorstößt. Die zahlreichen praktischen Beispiele und Tipps helfen dem Leser herauszufinden, wie seine Modelle noch effizienter lernen und noch kreativer werden können.


Data Mining

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ISBN 10 : 1478452447
Pages : pages
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Rating : 4.7/5 (478 users download)


Download Data Mining by Ian H. Witten PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Mining by Ian H. Witten. This book is available in ePub and PDF format with a single click unlimited downloads.


Neuronale Netze Selbst Programmieren

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ISBN 10 : 1492064041
Pages : 232 pages
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Rating : 4.9/5 (492 users download)


Download Neuronale Netze Selbst Programmieren by Tariq Rashid PDF/Ebook Free clicking on the below button will initiate the downloading process of Neuronale Netze Selbst Programmieren by Tariq Rashid. This book is available in ePub and PDF format with a single click unlimited downloads. Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur wenige, wie Neuronale Netze tatsächlich funktionieren. Dieses Buch nimmt Sie mit auf eine unterhaltsame Reise, die mit ganz einfachen Ideen beginnt und Ihnen Schritt für Schritt zeigt, wie Neuronale Netze arbeiten. Dafür brauchen Sie keine tieferen Mathematik-Kenntnisse, denn alle mathematischen Konzepte werden behutsam und mit vielen Illustrationen erläutert. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht. Zum Schluss lassen Sie das Netz noch auf einem Raspberry Pi Zero laufen. - Tariq Rashid hat eine besondere Fähigkeit, schwierige Konzepte verständlich zu erklären, dadurch werden Neuronale Netze für jeden Interessierten zugänglich und praktisch nachvollziehbar.


Studyguide for Data Mining: Practical Machine Learning Tools and Techniques by Ian Witten, ISBN 9780123748560

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Publisher : Cram101
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ISBN 10 : 1478440236
Pages : 156 pages
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Rating : 4.7/5 (478 users download)


Download Studyguide for Data Mining: Practical Machine Learning Tools and Techniques by Ian Witten, ISBN 9780123748560 by Cram101 Textbook Reviews PDF/Ebook Free clicking on the below button will initiate the downloading process of Studyguide for Data Mining: Practical Machine Learning Tools and Techniques by Ian Witten, ISBN 9780123748560 by Cram101 Textbook Reviews. This book is available in ePub and PDF format with a single click unlimited downloads. Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780123748560 .


Studyguide for Data Mining

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Publisher : Cram101
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ISBN 10 : 1478452447
Pages : 61 pages
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Rating : 4.7/5 (478 users download)


Download Studyguide for Data Mining by Cram101 Textbook Reviews PDF/Ebook Free clicking on the below button will initiate the downloading process of Studyguide for Data Mining by Cram101 Textbook Reviews. This book is available in ePub and PDF format with a single click unlimited downloads. Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780123748560 .


Studyguide for Data Mining

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Publisher : Cram101
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ISBN 10 : 1478462868
Pages : 70 pages
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Rating : 4.7/5 (478 users download)


Download Studyguide for Data Mining by Cram101 Textbook Reviews PDF/Ebook Free clicking on the below button will initiate the downloading process of Studyguide for Data Mining by Cram101 Textbook Reviews. This book is available in ePub and PDF format with a single click unlimited downloads. Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.


Handbook of Statistical Analysis and Data Mining Applications

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Publisher : Academic Press
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ISBN 10 : 0080912036
Pages : 864 pages
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Rating : 4.8/5 (8 users download)


Download Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet PDF/Ebook Free clicking on the below button will initiate the downloading process of Handbook of Statistical Analysis and Data Mining Applications by Robert Nisbet. This book is available in ePub and PDF format with a single click unlimited downloads. The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book


Practical Machine Learning for Data Analysis Using Python

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Publisher : Academic Press
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ISBN 10 : 9780128213803
Pages : 534 pages
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Rating : 4.1/5 (213 users download)


Download Practical Machine Learning for Data Analysis Using Python by Abdulhamit Subasi PDF/Ebook Free clicking on the below button will initiate the downloading process of Practical Machine Learning for Data Analysis Using Python by Abdulhamit Subasi. This book is available in ePub and PDF format with a single click unlimited downloads. 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 the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features


Machine Learning and Data Mining

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Publisher : Elsevier
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ISBN 10 : 9780857099440
Pages : 480 pages
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Rating : 4.9/5 (99 users download)


Download Machine Learning and Data Mining by Igor Kononenko PDF/Ebook Free clicking on the below button will initiate the downloading process of Machine Learning and Data Mining by Igor Kononenko. This book is available in ePub and PDF format with a single click unlimited downloads. Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining A valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions


Advances in Data Mining: Applications and Theoretical Aspects

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Publisher : Springer
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ISBN 10 : 9783642397363
Pages : 281 pages
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Rating : 4.9/5 (397 users download)


Download Advances in Data Mining: Applications and Theoretical Aspects by Petra Perner PDF/Ebook Free clicking on the below button will initiate the downloading process of Advances in Data Mining: Applications and Theoretical Aspects by Petra Perner. This book is available in ePub and PDF format with a single click unlimited downloads. This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.


Applied Software Development With Python & Machine Learning By Wearable & Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation

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Publisher : World Scientific
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ISBN 10 : 9789811235979
Pages : 248 pages
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Rating : 4.3/5 (235 users download)


Download Applied Software Development With Python & Machine Learning By Wearable & Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation by Robert Lemoyne PDF/Ebook Free clicking on the below button will initiate the downloading process of Applied Software Development With Python & Machine Learning By Wearable & Wireless Systems For Movement Disorder Treatment Via Deep Brain Stimulation by Robert Lemoyne. This book is available in ePub and PDF format with a single click unlimited downloads. The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation for treating movement disorders, such as essential tremor, and machine learning. The machine learning distinguishes between distinct deep brain stimulation settings, such as 'On' and 'Off' status. This achievement demonstrates preliminary insight with respect to the concept of Network Centric Therapy, which essentially represents the Internet of Things for healthcare and the biomedical industry, inclusive of wearable and wireless inertial sensor systems, machine learning, and access to Cloud computing resources.Imperative to the realization of these objectives is the organization of the software development process. Requirements and pseudo code are derived, and software automation using Python for post-processing the inertial sensor signal data to a feature set for machine learning is progressively developed. A perspective of machine learning in terms of a conceptual basis and operational overview is provided. Subsequently, an assortment of machine learning algorithms is evaluated based on quantification of a reach and grasp task for essential tremor using a smartphone as a wearable and wireless accelerometer system.Furthermore, these skills regarding the software development process and machine learning applications with wearable and wireless inertial sensor systems enable new and novel biomedical research only bounded by the reader's creativity.