BOOKS - PROGRAMMING - Statistical Data Cleaning with Applications in R
Statistical Data Cleaning with Applications in R - Mark van der Loo, Edwin de Jonge 2018 PDF | RTF | DJVU Wiley BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
11752

Telegram
 
Statistical Data Cleaning with Applications in R
Author: Mark van der Loo, Edwin de Jonge
Year: 2018
Pages: 320
Format: PDF | RTF | DJVU
File size: 10.5 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Data-Driven Systems and Intelligent Applications
Advanced Mathematical Applications in Data Science
Advanced Data Structures Theory and Applications
Advances in Data Clustering Theory and Applications
Data Visualization Tools for Business Applications
Data Mining for Co-location Patterns Principles and Applications
Spatiotemporal Data Analytics and Modeling Techniques and Applications
Data Converters, Phase-Locked Loops, and Their Applications
Advanced Applications of Python Data Structures and Algorithms
Practical Applications of Data Processing, Algorithms, and Modeling
Interaction Data Analytics Methods, Tools, and Applications
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Signal Processing and Networking for Big Data Applications
Advanced Applications of Python Data Structures and Algorithms
Machine Learning and Data Science Fundamentals and Applications
Data-Centric Artificial Intelligence for Multidisciplinary Applications
Spatiotemporal Data Analytics and Modeling Techniques and Applications
Practical Applications of Data Processing, Algorithms, and Modeling
Handbook of Data Structures and Applications, 2nd Edition
Applications of Computational Intelligence in Data-Driven Trading
Applications of Big Data in Healthcare: Theory and Practice
Practical Applications of Data Processing, Algorithms, and Modeling
AI-Based Data Analytics Applications for Business Management
Data Structures and Algorithms in Golang Develop Better Applications with Go
Big Data Analytics Applications in Business and Marketing
Applications of Data Mining in Engineering, Management and Medicine
Interaction Data Analytics Methods, Tools, and Applications
Designing Data-Intensive Applications (Early release)
Data Structures and Transmission Research, Technology and Applications
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Data Analytics Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life
Advanced Data Analytics with AWS Explore Data Analysis Concepts in the Cloud to Gain Meaningful Insights and Build Robust Data Engineering Workflows Across Diverse Data Sources
Guide to Advanced Statistical Analysis in R Advanced data analysis – without tears
Guide to Advanced Statistical Analysis in R Advanced data analysis – without tears
Model-Based Clustering and Classification for Data Science With Applications in R
Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering
Big Data Analytics Theory, Techniques, Platforms, and Applications
Multivariate Data Integration Using R Methods and Applications with the mixOmics Package