 |
ISBN
| 9781108473989 | |
DDC
| 006.3 | |
Tác giả CN
| Zaki, Mohammed J. | |
Nhan đề
| Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira | |
Lần xuất bản
| 2nd ed. | |
Thông tin xuất bản
| United Kingdom ; New York, NY : Cambridge University Press, Cambridge, 2020 | |
Mô tả vật lý
| 777 pages. : illustrations ; 26 cm. | |
Phụ chú
| [Revised] edition of: Data mining and analysis. 2014 | |
Tóm tắt
| The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning | |
Từ khóa tự do
| Neural networks | |
Từ khóa tự do
| Data mining | |
Từ khóa tự do
| Algorithms | |
Từ khóa tự do
| Machine learning | |
Từ khóa tự do
| Deep learning | |
Khoa
| Khoa Công nghệ Thông tin | |
Tác giả(bs) CN
| Meira, Wagner | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 100 | |aZaki, Mohammed J. |
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| 245 | |aData mining and machine learning : |bfundamental concepts and algorithms / |cMohammed J. Zaki, Wagner Meira |
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| 250 | |a2nd ed. |
|---|
| 260 | |aUnited Kingdom ; New York, NY : |bCambridge University Press, Cambridge, |c2020 |
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| 300 | |a777 pages. : |billustrations ; |c26 cm. |
|---|
| 500 | |a[Revised] edition of: Data mining and analysis. 2014 |
|---|
| 520 | |aThe fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning |
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| 653 | |aNeural networks |
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| 653 | |aData mining |
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| 653 | |aAlgorithms |
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| 653 | |aMachine learning |
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| 653 | |aDeep learning |
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| 690 | |aKhoa Công nghệ Thông tin |
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| 691 | |aKỹ thuật phần mềm |
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| 700 | |aMeira, Wagner |
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| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
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