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
56350

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 Science and Machine Learning Applications in Subsurface Engineering
The 3-D Global Spatial Data Model Principles and Applications, Second Edition
Big Data, IoT, and Machine Learning Tools and Applications
AIoT and Big Data Analytics for Smart Healthcare Applications
Big Data and Blockchain Technology for Secure IoT Applications
Big Data Computing Advances in Technologies, Methodologies, and Applications
An Introduction to Optimization with Applications in Machine Learning and Data Analytics
Big Data and Blockchain Technology for Secure IoT Applications
In-Memory Computing Hardware Accelerators for Data-Intensive Applications
Handbook of Artificial Intelligence and Big Data Applications in Investments
Advanced Deep Learning Applications in Big Data Analytics
Big Data Analytics Theory, Techniques, Platforms, and Applications
In-Memory Computing Hardware Accelerators for Data-Intensive Applications
Security and Privacy for Big Data, Cloud Computing and Applications
Programming Big Data Applications Scalable Tools and Frameworks for Your Needs
Big Data Computing Advances in Technologies, Methodologies, and Applications
Big Data Analytics with Applications in Insider Threat Detection
AIoT and Big Data Analytics for Smart Healthcare Applications
Pivoting Government through Digital Transformation (Data Analytics Applications)
AIoT and Big Data Analytics for Smart Healthcare Applications
Multisensor Data Fusion From Algorithms and Architectural Design to Applications
AI for Big Data-Based Engineering Applications from Security Perspectives
Blockchain, Big Data and Machine Learning Trends 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 (English Edition)
Big Data Analytics in Supply Chain Management Theory and Applications
High Spatial Resolution Remote Sensing Data, Analysis, and Applications
Big Data Management and Analytics (Future Computing Paradigms and Applications)
Probabilistic Data Structures for Blockchain-Based Internet of Things Applications
Environmental Data Analysis with MatLab or Python Principles, Applications, and Prospects
Data Science in Engineering and Management Applications, New Developments, and Future Trends
Data Mining for Business Analytics Concepts, Techniques and Applications in Python
Deep Learning for Data Analytics Foundations, Biomedical Applications, and Challenges
Interactive Data Visualization Foundations, Techniques, and Applications, 2nd Edition
Quantile Regression Applications on Experimental and Cross Section Data using EViews
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications
The Data Revolution Big Data, Open Data, Data Infrastructures and Their Consequences
Confidence, Likelihood, Probability: Statistical Inference with Confidence Distributions (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 41)
Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications
Python for Information Professionals How to Design Practical Applications to Capitalize on the Data Explosion
Quantitative Analysis for System Applications Data Science and Analytics Tools and Techniques