CSDL sách
- Principles of data science
- Tác giả: Hamid Arabnia, ... [and other people]
- Nhà xuất bản: Springer - Cham
- Năm xuất bản: 2020
- Số trang:278 p.
- Kích thước:24 cm.
- Số đăng ký cá biệt:48624
- ISBN:9783030439811
- Mã Dewey:005.7
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Giáo trình
- Đang rỗi/ Tổng sách:1/1
- Từ khóa:Big data, data mining, statistics
- Chủ đề: Data Mining & Big data & Statistics--Data processing
- Chuyên ngành: Khoa Công Nghệ Thông Tin
- Tóm tắt: This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science.Introduces various techniques, methods, and algorithms adopted by Data Science expertsProvides a detailed explanation of data science perceptions, reinforced by practical examplesPresents a road map of future trends suitable for innovative data science research and practice.
- Sách điện tử:http://thuvienso.duytan.edu.vn/handle/123456789/306491
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