Data Mining: Practical Machine Learning Tools & Techniques, 3/E (PB)
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Lieferung aus: Kanada, Usually ships within 1 - 2 business days.
Von Händler/Antiquariat, A - Z Books Ltd.
Data Mining: Practical Machine Learning Tools And Techniques, 3Rd Edition by Ian H. Witten, Eibe Frank & Mark A. Hall, 9789380501864, Paperback, संस्करण: 3, लेबल: Elsevier, Elsevier, उत्पाद समूह: Book, प्रकाशित: 2014, स्टूडियो: Elsevier, बिक्री रैंक: 176146.

Lieferung aus: Indien, Usually dispatched within 1-2 business days, इसके अलावा अगर (शिप) शिपिंग.
Von Händler/Antiquariat, Book Kart 24 x 7.
Data mining is not an intuitive activity. It requires skills and techniques which can be honed by using books like Data Mining: Practical Machine Learning Tools And Techniques. This book is an ultimate guide for applying machine learning techniques and tools in real-world situations of data mining. The book will help you interpret outputs, evaluate results and prepare inputs and will provide the algorithmic methods for efficient data mining. You will not only find the explanation of concepts in this book but will also come across practical advice for successful data mining. Data Mining: Practical Machine Learning Tools And Techniques in the new edition includes all the recent changes and modernisation of techniques of data mining. You will find extra material on ensemble learning, data transformation, massive data sets and multi-instance learning. The book also includes weka Software for machine learning that the authors have developed. Authors Ian H. Witten, Mark A Hall and Eibe Frank have included the tried and tested methods of data mining in this book, along with the toolkit of Weka software having an interactive interface, data classification, clustering, visualisation and association rules. Data Mining: Practical Machine Learning Tools And Techniques is now available in its third edition in paperback by Elsevier. Key Features: Data Mining: Practical Machine Learning Tools And Techniques includes latest material on new modernization tools and techniques. The book also includes the downloadable software and toolkit of the popular data mining software Weka, created by the authors. It illustrates machine learning concepts of data mining and provides practical suggestions on effective data mining techniques., Paperback, संस्करण: Third, लेबल: Elsevier, Elsevier, उत्पाद समूह: Book, प्रकाशित: 2010, स्टूडियो: Elsevier, बिक्री रैंक: 20308.

Lieferung aus: Niederlande, zzgl. Versandkosten.
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.* Provides a thorou.

Lieferung aus: Deutschland, Free shipping.
Von Händler/Antiquariat, Buchhandlung - Bides GbR, [4124740].
Neuware - 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. 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, 01.01.2017, Taschenbuch, Neuware, 233x191x32 mm, 1305g, 621, Internationaler Versand, Offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung.

Lieferung aus: Deutschland, Sofort lieferbar.
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 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, Taschenbuch, 01.01.2017.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Free shipping.
Von Händler/Antiquariat, Ria Christie Collections [59718070], Uxbridge, United Kingdom.
Not Signed; 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 acclaime.

Von Händler/Antiquariat, Revaluation Books [2134736], Exeter, United Kingdom.
4th edition. 621 pages. 9.25x7.50x1.25 inches. In Stock.

Von Händler/Antiquariat, THE SAINT BOOKSTORE [51194787], Southport, United Kingdom.
New copy - Usually dispatched within 2 working days, Books.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Usually dispatched within 1-2 business days, इसके अलावा अगर (शिप) शिपिंग.
Von Händler/Antiquariat, AV Books Place.
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