Raman Kannan

machine learning supervised learning variance reduction strategy non-parametric method r random forest glm tree r-programming data science cognitive computing ols social performance improvement strategies stacking gbm xgboost ensemble method leaveoneout cv bagging cross validation convexity loss function gradient descent rmd crossvalidation naivebayes fast to score explainable parallelizable multi-class non-linear boundary tree-induction vapnik learning theory support vector machine performance improvement variance bias instanced based methods fisher's lda classification razor nfl intelligence framework binary classifier logistic regression genome dna genes r ggplot2 prophet selfstudy guide normality test data analytics unix file processing validating ols assumptions r programming language regression derivative trading frank dodd hybrid humanoids anatomical artifacts augmented humans google glasses and applications cloud computing paradigm shift marginal cost analysis soa inspiration leadership management s curves disruptive technologies innovation