10 Articles and Tutorials about Outliers @DataScienceCtrl @AnalyticBridge

Data Science Central Featured Article This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC. 10 Articles and Tutorials about Outliers Sometimes outliers are real data  Outlier Detection with Parametric and Non-Parametric methods  Introduction to Outlier Detection Methods  Neutralizing Outliers in Any Dimension  Identify, describe, plot, and remove the outliers with R  Outlier detection using cluster analysis  Multidimensional outlier detection in time series  Bayesian Outlier Detection with Dirichlet Process Mixtures  Book: Outlier Detection for Temporal Data  Outlier analysis: Chebyschev criteria vs Mutual Information + Forum Questions Question: outlier detection and supervised machine learning  Question: Outliers in Logistic Regression  Question: Can regression be used for outlier detection  Related Articles 15 Deep Learning Tutorials  16 Great IoT Articles Published in 2016  24 Core Articles About Data Science  11 Great Hadoop, Spark and Map-Reduce Articles  A Plethora of Data Set Repositories  Four Great Pictures Illustrating Machine Learning Concepts  14 Great Articles and Tutorials on Clustering  13 Great Articles and Tutorials about Correlation 26 Great Articles and Tutorials about Regression Analysis Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge