Fundamentals of Data Science: Theory and Practice

Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book 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. The book'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.

• | Author: Jugal K. Kalita
• | Publisher: Academic Press
• | Publication Date: Nov 22, 2023
• | Number of Pages: 334 pages
• | Binding: Paperback or Softback
• | ISBN-10: 032391778X
• | ISBN-13: 9780323917780