September 22, 2013
R, Python, Neural Networks, Dimension reduction: PCA, MDS, SVD, LDA Logistic discriminant analysis; Boosting, Bagging, Random Forests, Time Series, CART, Multivariate Regression, Probabilistic approaches, Survival Analysis, Hierarchical approaches, Non-Linear regression, K-Means, K-NN, Graph theory
Applications of data mining/predictive modelling/machine learning, and statistics in industries such as Finance, Biotech, Manufacturing and Sport.
I'm a lively and enthusiastic Statistician (PhD Biology then MSc Statistics). My interests include Data Mining/Machine Learning and Network theory. I'm looking to connect with like-minded people and learn new analytical approaches and technology.