Derek Kane

machine learning predictive analytics data mining big data statistics analytics r studio r data science regression optimization ols transformations model selection eda pca anova hdfs pig storm hive yarn cloud apache mapper internet of things mahout hadoop 2.0 hadoop hbase reducer mapreduce convolutional neural network deep belief networks boltzmann machines deep learning image processing deep neural network fourier transform machine learnin fourier analysis survival analysis mars logistic regression recidivism splines bitstring mutation knapsack problem tsp heuristics genetic algorithm genetics trellis expectation maximization hmm viterbi baum welch markov matrix econometrics bias variance lasso ridge regression elastic nets multicollinearity text mining text analytics unstructured data social media sentiment analysis text nlp additive multiplicative time series arma holt winters arima support vector machine svm perceptrons supervised learning unsupervised learning feedforward back propigation neural network ann hierarchical distance matrix scree plot gaussian kmeans mclust cluster product recomendation market basket association rules decision tree random forest prediction business intelligence