Currently set to No Index

25 Statistical Concepts Explained in Simple English – Part 2

25 Statistical Concepts Explained in Simple English – Part 2 This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more.

Read Full Story

29 Statistical Concepts Explained in Simple English – Part 1

29 Statistical Concepts Explained in Simple English – Part 1 This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more.

Read Full Story

Sequence Modeling with Neural Networks – Part I

Sequence Modeling with Neural Networks – Part I Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods,

Read Full Story