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  • Ký hiệu PL/XG: 006.312 I249
    Nhan đề: Introduction to data science :
ISBN 9783319500164
DDC 006.312
Tác giả CN Igual, Laura
Nhan đề Introduction to data science : a Python approach to concepts, techniques and applications / Laura Igual; Santi Seguí
Thông tin xuất bản Cham, Switzerland : Springer, 2017
Mô tả vật lý 227 pages. : illustrations
Tùng thư Undergraduate topics in computer science.
Tóm tắt This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website<This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Assistant Professor at the same institution.
Thuật ngữ chủ đề Mathematical statistics
Thuật ngữ chủ đề Artificial intelligence
Thuật ngữ chủ đề Quantitative research
Thuật ngữ chủ đề Python (Computer program language)
Từ khóa tự do Data mining
Từ khóa tự do Computer science
Từ khóa tự do Statistics
Từ khóa tự do Pattern perception
Khoa Khoa Công nghệ Thông tin
Khoa Khoa Quản trị Kinh doanh
Tác giả(bs) CN Seguí, Santi
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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040 |aNTT
041 |aeng
044 |asz
082 |a006.312|bI249|223
100 |aIgual, Laura
245 |aIntroduction to data science : |ba Python approach to concepts, techniques and applications / |cLaura Igual; Santi Seguí
260 |aCham, Switzerland : |bSpringer, |c2017
300 |a227 pages. : |billustrations
490 |aUndergraduate topics in computer science.
504 |aIncludes bibliographical references and index
520 |aThis accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website<This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Assistant Professor at the same institution.
541 |aSpringer
650 |aMathematical statistics
650 |aArtificial intelligence
650 |aQuantitative research
650 |aPython (Computer program language)
653 |aData mining
653 |aComputer science
653 |aStatistics
653 |aPattern perception
690 |aKhoa Công nghệ Thông tin
690|aKhoa Quản trị Kinh doanh
691|aCông nghệ thông tin
691|aThương mại điện tử
700 |aSeguí, Santi
852 |aThư Viện Đại học Nguyễn Tất Thành
8561|uhttp://elib.ntt.edu.vn/documentdata01/2 tailieuthamkhao/000 tinhocthongtin/anhbiasach/21297_introductiontodatascience_kthumbimage.jpg
890|c1|a0|b0|d2
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