Fundamentals of Data Science

Theory and Practice de

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Éditeur :

Academic Press


Paru le : 2023-11-17

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Description
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. - Presents the foundational concepts of data science along with advanced concepts and real-life applications for applied learning - Includes coverage of a number of key topics such as data quality and pre-processing, proximity and validation, predictive data science, descriptive data science, ensemble learning, association rule mining, Big Data analytics, as well as incremental and distributed learning - Provides updates on key applications of data science techniques in areas such as Computational Biology, Network Intrusion Detection, Natural Language Processing, Software Clone Detection, Financial Data Analysis, and Scientific Time Series Data Analysis - Covers computer program code for implementing descriptive and predictive algorithms
Pages
200 pages
Collection
n.c
Parution
2023-11-17
Marque
Academic Press
EAN papier
9780323917780
EAN PDF
9780323972635

Informations sur l'ebook
Nombre pages copiables
20
Nombre pages imprimables
20
Taille du fichier
12759 Ko
Prix
114,99 €
EAN EPUB SANS DRM
9780323972635

Informations sur l'ebook
Prix
114,99 €

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