نتایج جستجو
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
Graham Williams, 2011
Python for data analysis : Data wrangling with Pandas, Numpy, and IPython
McKinney, Wes, 2013
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham, Garrett Grolemund, 2017
Data-Driven Law: Data Analytics and the New Legal Services
Ed. Walters, 2018
Data Driven: Harnessing Data and AI to Reinvent Customer Engagement
Tom Chavez, Chris O’Hara, Vivek Vaidya, 2018
Big Data at Work: The Data Science Revolution and Organizational Psychology
Scott Tonidandel, Eden B. King, Jose M. Cortina (eds.)
A Data Scientist’s Guide to Acquiring, Cleaning, and Managing Data in R
Samuel E. Buttrey, Lyn R. Whitaker, 2017
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Seth Stephens-Davidowitz, 2017
Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
Walter W. Piegorsch, 2015
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham, Garrett Grolemund, 2017
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney, 2017
Python Data Science Essentials - Third Edition: A Beginner’s Guide Covering Essential Data Science Principles, Tools, and Techniques
Luca Massaron & Alberto Boschetti [Luca Massaron], 2018
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications
Bart Baesens [Bart Baesens], 2014
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition
Michael Freeman & Joel Ross [Michael Freeman], 2018
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server
Joshua Cook [Joshua Cook], 2017
Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney, 2017
Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
Wes McKinney, 2017
