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Data Mining - Practical Machine Learning Tools And Techniques

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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.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

005 IAN d

Penerbit

New York : Morgan Kaufmann., 2016

Deskripsi Fisik

xxxii + 621 hlm; 23 cm

Bahasa

Indonesia

ISBN/ISSN

9780128042915

Klasifikasi

005

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

Ed. 4

Subjek

Pemrogaman

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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