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...
| Main Authors: | Kalita, Jugal Kumar (Author), Bhattacharyya, Dhruba K. (Author), Roy, Swarup (Computer scientist) (Author) |
|---|---|
| Corporate Author: | ScienceDirect (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
London ; San Diego, CA :
Academic Press,
[2024]
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Fundamentals of data science : theory and practice /
by: Kalita, Jugal Kumar, et al.
Published: (2024)
by: Kalita, Jugal Kumar, et al.
Published: (2024)
Data deduplication approaches : concepts, strategies, and challenges /
Published: (2021)
Published: (2021)
Mathematical methods in data science /
by: Ren, Jingli, et al.
Published: (2023)
by: Ren, Jingli, et al.
Published: (2023)
Handbook of mobility data mining.
Published: (2023)
Published: (2023)
Badanie danych Raport z pierwszej linii działań /
by: Schutt, Rachel, et al.
Published: (2014)
by: Schutt, Rachel, et al.
Published: (2014)
Visualizing data and communicating research : Urban Institute.
Published: (2019)
Published: (2019)
How to situate big data in social scientific thought /
by: Törnberg, Petter
Published: (2022)
by: Törnberg, Petter
Published: (2022)
Analiza danych w bizenesie : Sztuka podejmowania skutecznych decyzji /
by: Provost, Foster, 1964-, et al.
Published: (2014)
by: Provost, Foster, 1964-, et al.
Published: (2014)
Beeswarm plot /
by: Kirk, Andy
Published: (2016)
by: Kirk, Andy
Published: (2016)
The human face of big data /
Published: (2014)
Published: (2014)
Data Governance with Unity Catalog on Databricks: Implement Data & AI Governance with Databricks Implement Data & AI Governance with Databricks Data Intelligence Platform /
by: Sreekumar, Kiran
Published: (2025)
by: Sreekumar, Kiran
Published: (2025)
Data sharing between academia and private industry.
Published: (2019)
Published: (2019)
An introduction to data science & spatial big data.
Published: (2019)
Published: (2019)
What is data science?.
Published: (2017)
Published: (2017)
Gina Neff discusses interdisciplinary data science teams.
Published: (2019)
Published: (2019)
Strata data.
Published: (2021)
Published: (2021)
Big data : concepts, technology and architecture /
by: Balusamy, Balamurugan, et al.
Published: (2021)
by: Balusamy, Balamurugan, et al.
Published: (2021)
Data science & policy research at the Urban Institute : clusters, scraping & data visualization.
Published: (2019)
Published: (2019)
Data-Science-Crashkurs Eine interaktive und praktische Einführung.
by: Herbold, Steffen
Published: (2022)
by: Herbold, Steffen
Published: (2022)
The phantom pattern problem : the mirage of big data /
by: Smith, Gary, 1945-, et al.
Published: (2020)
by: Smith, Gary, 1945-, et al.
Published: (2020)
The data analytics advantage : strategies and insights to understand social media content and audiences /
by: Khan, Laeeq
Published: (2025)
by: Khan, Laeeq
Published: (2025)
Knowledge modelling and big data analytics in healthcare : advances and applications /
Published: (2022)
Published: (2022)
Mining biomedical text, images and visual features for information retrieval /
Published: (2025)
Published: (2025)
Building big data applications /
by: Krishnan, Krish
Published: (2020)
by: Krishnan, Krish
Published: (2020)
Intelligent data analysis for biomedical applications : challenges and solutions /
Published: (2019)
Published: (2019)
Data architecture : a primer for the data scientist /
by: Inmon, William H., et al.
Published: (2019)
by: Inmon, William H., et al.
Published: (2019)
Data superstream.
Published: (2025)
Published: (2025)
Introduction to big data for social science research.
Published: (2019)
Published: (2019)
Data mining : concepts and techniques /
by: Han, Jiawei, et al.
Published: (2023)
by: Han, Jiawei, et al.
Published: (2023)
Ericka Menchen-Trevino discusses the importance of informed consent when using digital trace data.
Published: (2019)
Published: (2019)
Crash course statistics.
Published: (2018)
Published: (2018)
Teaching data science : core learning outcomes and topics for an introductory course.
Published: (2018)
Published: (2018)