Data science : innovative developments in data analysis and clustering /

QR Code

Data science : innovative developments in data analysis and clustering /

Bibliographic Details
Format:	Book
Published:	c2017.
Online Access:	Ver documento en línea

Similar Items

Introduction to data science : data analysis and prediction algorithms with R /
by: Irizarry, Rafael A.
Published: (2020)

Beginning data science in r : data analysis, visualization, and modelling for the data scientist /
Published: (2017)

Data science /
by: Kelleher, John D. 1974-
Published: (2018)

Analysis of multivariate social science data /
by: Bartholomew, David J.
Published: (2008)

Time series for data science : analysis and forecasting /
by: Woodward, Wayne A.,
Published: (2022)

Data science and big data computing : frameworks and methodologies /
Published: (2016)

Data Provenance and Data Management in eScience /
Published: (2013)

Algorithms for data science.

Doing data science /
by: O'Neil, Cathy,
Published: (2014)

Data science for business /
by: Provost, Foster,
Published: (2013)

Data science on AWS /
by: Fregly, Chris
Published: (2021)

Applied data science : Lessons learned for the data-driven business.

Data science and big data: an environment of computational intelligence /
Published: (2017)

Geomatic methods for the analysis of data in the earth sciences /
Published: (2000)

Spatial data analysis in the social and environmental sciences /
by: Haining, Robert
Published: (1990)

Theory-based data analysis for the social sciences /
by: Aneshensel, Carol S.
Published: (2002)

Data reduction and error analysis for the physical sciences /
by: Bevington, Philip R. 1933-1980, et al.
Published: (2003)

Data analysis for social science : a friendly and practical introduction /
by: Llaudet, Elena, 1978- ,
Published: (2023)

R for data science : import, tidy, transform, visualize, and model data /
by: Wickham, Hadley,
Published: (2016)

Advances in data science : symbolic, complex and network data. Volume 4 /
Published: (2020)

Mastering python for data science : explore the world of data science through python and learn how to make sense of data /
by: Madhavan, Samir,
Published: (2015)

Python data science handbook : essential tools for working with data /
by: VanderPlas, Jake,
Published: (2017)

Cluster analysis for data mining and system identification /
by: Abonyi, János
Published: (2007)

The handbook of data science and AI : generate value from data with machine learning and data analytics /
by: Papp, Stefan,
Published: (2022)

Data science for healthcare : methodologies and applications /
Published: (2019)

Spatial data science : with applications in R /
by: Pebesma, Edzer J.,
Published: (2023)

Data science for undergraduates / : opportunities and options /
Published: (2018)

Intro to Python for computer science and data science : learning to program with AI, Big Data and the Cloud /
by: Deitel, Paul J. 1969-
Published: (2020)

Advances in Computing and Data Sciences /
Published: (2017)

The Data Science Design Manual /
by: Skiena, Steven S.
Published: (2017)

Bayesian optimization and data science /
Published: (2019)

Beginning data science with R /
Published: (2014)

Data science and digital business /
Published: (2019)

Data science and productivity analytics /
Published: (2020)

Data science and visual computing /
Published: (2019)

Data science from scratch /
by: Grus, Joel,
Published: (2015)

Statistics and data science for teachers /
by: Bargagliotti, Anna
Published: (2021)

Introducing data science : big data, machine learning, and more, using Python tools /
by: Cielen, Davy
Published: (2016)

Analysis and modeling of complex data in behavioral and social sciences.

Docker for data science : building scalable and extensible data infrastructure around the Jupyter notebook server /
Published: (2017)