Description: Fundamentals of Data Science : Theory and Practice, Paperback by Kalita, Jugal K.; Bhattacharyya, Dhruba K.; Roy, Swarup, ISBN 032391778X, ISBN-13 9780323917780, Like New Used, Free shipping in the US Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. Th provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors’ research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. Th's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included.
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Book Title: Fundamentals of Data Science : Theory and Practice
Number of Pages: 200 Pages
Language: English
Publication Name: Fundamentals of Data Science : Theory and Practice
Publisher: Elsevier Science & Technology
Subject: Biotechnology, Computer Science, Applied, Discrete Mathematics, Biomedical
Publication Year: 2023
Type: Textbook
Item Length: 9.2 in
Subject Area: Mathematics, Computers, Technology & Engineering, Science
Author: Dhruba K. Bhattacharyya, Swarup Roy, Jugal K. Kalita
Item Width: 7.5 in
Format: Trade Paperback
