Institutes
Audiences
Languages
Topics
Scopes
Operations Research and Machine Learning
Institute
Tilburg University
Audiences
Masters, PhD Students, Postdocs, Professionals
Topics
Data Science, Deep Learning, Machine Learning, Mathematical Statistics, Neural Networks, Statistics Programming with Phyton, Supervised Learning, Unsupervised Learning
Scopes
Data Science, Mathematics, Operational Statistics / Operational Research
Language
English
Decision Making with Business Analytics
Institute
Tilburg University
Audiences
Masters
Topics
Cluster Analysis, Deep Learning, Dimension Reduction Statistics, Machine Learning, Neural Networks, Principal Component Analysis (PCA), Statistics Programming with Phyton, Supervised Learning, Support Vector Methods, Unsupervised Learning
Scopes
Data Science, Mathematics, Operational Statistics / Operational Research
Language
English
Big data & text mining
Institute
University of Twente
Audiences
Bachelors
Topics
Big Data, Cluster Analysis, Data Science, Data Visualisation / Informatics, Statistics Programming with R, Supervised Learning, Text Mining, Tree Based Methods, Unsupervised Learning
Scopes
Social Science
Language
English
Chemometrics
Institute
Wageningen University & Research
Audiences
PhD Students, Postdocs, Professionals
Topics
Cluster Analysis, Dimension Reduction Statistics, Generalised Linear Models (GLM) / Regression / Correlation / ANOVA, High Dimensional Data Analysis / Omics Statistics, Multivariate Statistics, Principal Component Analysis (PCA), Statistical Learning, Statistics Programming with R, Unsupervised Learning
Scopes
Biology, Biomedical, Environmental Science, Epidemiology, Health Science
Language
English
Statistics for Data Scientists
Institute
Wageningen University & Research
Audiences
Bachelors, Masters
Topics
Cluster Analysis, Data Visualisation / Informatics, Dimension Reduction Statistics, Generalised Linear Models (GLM) / Regression / Correlation / ANOVA, Generalised Non-Linear Models / Splines, High Dimensional Data Analysis / Omics Statistics, Machine Learning, Multivariate Statistics, Principal Component Analysis (PCA), Statistical Learning, Statistics Programming with R, Supervised Learning, Tree Based Methods, Unsupervised Learning
Scopes
Biology, Data Science, Ecology, Environmental Science, Epidemiology, Health Science, Social Science
Language
English