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...
Saved in:
| Main Authors: | Kalita, Jugal Kumar (Author), Bhattacharyya, Dhruba K. (Author), Roy, Swarup (Author) |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London :
Academic Press,
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data science & big data analytics discovering, analyzing, visualizing and presenting data
Published: (2015)
Published: (2015)
Data Science & Big Data Analytics : Discovering, Analyzing, Visualizing and Presenting Data /
Published: (2015)
Published: (2015)
High performance computing for big data methodologies and applications
Published: (2018)
Published: (2018)
Social sensing building reliable systems on unreliable data
by: Dong, Wang, et al.
Published: (2015)
by: Dong, Wang, et al.
Published: (2015)
Big data algorithms, analytics, and applications
Published: (2015)
Published: (2015)
Data analytics the ultimate guide to big data analytics for business, data mining techniques, data collection, and business intelligence concepts
by: Jones, Herbert
Published: (2018)
by: Jones, Herbert
Published: (2018)
Social big data mining
by: Ishikawa, Hiroshi
Published: (2015)
by: Ishikawa, Hiroshi
Published: (2015)
Big data analytics tools and technology for effective planning
Published: (2018)
Published: (2018)
Big data demystified how to use big data, data science and AI to make better business decisions and gain competitive advantage
by: Stephenson, David
Published: (2018)
by: Stephenson, David
Published: (2018)
Data warehousing in the age of big data
by: Krishnan, Krish
Published: (2013)
by: Krishnan, Krish
Published: (2013)
Research advances in the integration of big data and smart computing
Published: (2016)
Published: (2016)
Microsoft big data solutions
by: Jorgensen
Published: (2014)
by: Jorgensen
Published: (2014)
Data politics worlds, subjects, rights
Published: (2019)
Published: (2019)
Big data concepts, methodologies, tools, and applications
Published: (2016)
Published: (2016)
Data Warehouse and Data Mining : Concepts, techniques and real life applications /
by: Kumar, Jugnesh
Published: (2024)
by: Kumar, Jugnesh
Published: (2024)
Spark big data cluster computing in production
by: Ganelin, Ilya, et al.
Published: (2016)
by: Ganelin, Ilya, et al.
Published: (2016)
Big data processing with Hadoop
by: Revathi, T., et al.
Published: (2019)
by: Revathi, T., et al.
Published: (2019)
Introduction to data mining
by: Tan, Pang-Ning, et al.
Published: (2019)
by: Tan, Pang-Ning, et al.
Published: (2019)
Data science concepts and practice
by: Kotu, Vijay, et al.
Published: (2019)
by: Kotu, Vijay, et al.
Published: (2019)
Machine Learning and Data Science : Fundamentals and Applications /
Published: (2022)
Published: (2022)
Statistical data science
Published: (2018)
Published: (2018)
Managing big data in cloud computing environments
Published: (2016)
Published: (2016)
Effective big data management and opportunities for implementation
Published: (2016)
Published: (2016)
Data mining concepts and techniques
by: Han, Jiawei
Published: (2012)
by: Han, Jiawei
Published: (2012)
Data mining concepts and techniques
by: Han, Jiawei, et al.
Published: (2023)
by: Han, Jiawei, et al.
Published: (2023)
Introduction to data mining
by: Tan, Pang-Ning
Published: (2014)
by: Tan, Pang-Ning
Published: (2014)
Data Mining Concepts, Models, Methods, and Algorithms
by: Kantardzic, Mehmed
Published: (2020)
by: Kantardzic, Mehmed
Published: (2020)
Data mining a tutorial-based primer
by: Roiger, Richard J.
Published: (2017)
by: Roiger, Richard J.
Published: (2017)
Big data analytics from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph
by: Loshin, David, 1963-
Published: (2013)
by: Loshin, David, 1963-
Published: (2013)
Data mining methods and applications
Published: (2008)
Published: (2008)
Data mining techniques and applications an introduction
by: Du, Hongbo
Published: (2010)
by: Du, Hongbo
Published: (2010)
Foundations for architecting data solutions managing successful data projects
by: Malaska,Ted, et al.
Published: (2018)
by: Malaska,Ted, et al.
Published: (2018)
The digital era big data stakes
Published: (2018)
Published: (2018)
Big Data /
Published: (2020)
Published: (2020)
The art and science of analyzing software data
Published: (2015)
Published: (2015)
Data analytics models and algorithms for intelligent data analysis
by: Runkler, Thomas A.
Published: (2020)
by: Runkler, Thomas A.
Published: (2020)
Network traffic anomaly detection and prevention concepts, techniques, and tools
by: Bhuyan, Monowar H., et al.
Published: (2017)
by: Bhuyan, Monowar H., et al.
Published: (2017)
An Introduction to Data Science With Python /
by: Saltz, Jeffrey S., et al.
Published: (2025)
by: Saltz, Jeffrey S., et al.
Published: (2025)
Clustering for data mining a data recovery approach
by: Mirkin, B. G. (Boris Grigorʹevich)
Published: (2005)
by: Mirkin, B. G. (Boris Grigorʹevich)
Published: (2005)
Data mining algorithms
by: Chattamvelli, Rajan
Published: (2011)
by: Chattamvelli, Rajan
Published: (2011)
Similar Items
-
Data science & big data analytics discovering, analyzing, visualizing and presenting data
Published: (2015) -
Data Science & Big Data Analytics : Discovering, Analyzing, Visualizing and Presenting Data /
Published: (2015) -
High performance computing for big data methodologies and applications
Published: (2018) -
Social sensing building reliable systems on unreliable data
by: Dong, Wang, et al.
Published: (2015) -
Big data algorithms, analytics, and applications
Published: (2015)


