Statistical learning using neural networks : a guide for statisticians and data scientists This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples. Statistical topics covered include multivariate statistics (Cluster Classification Dimension Reduction Projection Pursuit Nonlinear Regression) Survival Analysis (Cox Model and Extensions) Control Chart and Statistical Inference. Illustrative examples will be mainly from medicine engineering and economics