Qamar Usman (73 results)
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Hardcover
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- Softcover
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- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: SpringBooks, Berlin, GermanySpringBooks
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- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 44.68
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Taschenbuch. Condition: Neu. Data Science Concepts and Techniques with Applications | Usman Qamar (u. a.) | Taschenbuch | xv | Englisch | 2021 | Springer | EAN 9789811561351 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Gut. Zustand: Gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | 1. Introduction.- 2. Applications of Data Science.- 3. Widely Used Techniques in Data Science Applications.- 4. Data Preprocessing.- 5. Classification.- 6. Clustering.- 7. Text Mining.- 8. Deep Learning.- 9. Frequent Pattern Mining.- 10. Regres…sion Analysis.- 11. Data Science Programming Language.- 12. Practical Data Science with WEKA.
- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condition: New. pp. XVI, 236 147 illus., 27 illus. in color. 2nd ed. 2019 edition NO-PA16APR2015-KAP.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2nd edition. 498 pages. 9.25x6.10x1.01 inches. In Stock.
- Softcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 64.56
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Taschenbuch. Condition: Neu. Data Science Concepts and Techniques with Applications | Usman Qamar (u. a.) | Taschenbuch | xxiv | Englisch | 2023 | Springer | EAN 9783031174414 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preig…u.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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£ 34.95
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | 1. Introduction.- 2. Applications of Data Science.- 3. Widely Used Techniques in Data Science Applications.- 4. Data Preprocessing.- 5. Classification.- 6. Clustering.- 7. Text Mining.- 8. Deep Learning.- 9. Frequent Pattern Mining.-…10. Regression Analysis.- 11. Data Science Programming Language.- 12. Practical Data Science with WEKA.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 71.21
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters…of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics.'This book delivers a systematic, carefully thoughtful material on Data Science.'from the Foreword by Witold Pedrycz, U Alberta, Canada.
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used
£ 36.00
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 500 | Sprache: Englisch | Produktart: Bücher | 1. Introduction.- 2. Applications of Data Science.- 3. Widely Used Techniques in Data Science Applications.- 4. Data Preprocessing.- 5. Classification.- 6. Clustering.- 7. Text Mining.- 8. Deep Learning.- 9. Frequent Pattern M…ining.- 10. Regression Analysis.- 11. Data Science Programming Language.- 12. Practical Data Science with WEKA.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 130.95
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Condition: As New. Unread book in perfect condition.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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£ 68.55
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Taschenbuch. Condition: Neu. Applied Text Mining | Usman Qamar (u. a.) | Taschenbuch | xxiii | Englisch | 2024 | Springer | EAN 9783031519161 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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£ 75.95
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand exa…mples.It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering.
