## Recently Published

##### An Open Science Project on Statistics: Doing the power analysis, equivalence test, NHST and computing the Bayes Factor to compare the ratings of a few most recent movies by the legendary directors Satyajit Ray and Akira Kurosawa

An Open Science Project on Statistics: Doing the power analysis, equivalence test, NHST and computing the Bayes Factor to compare the ratings of a few most recent movies by the legendary directors Satyajit Ray and Akira Kurosawa

##### Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

##### Modeling Face Images with Nonnegative Matrix Factorization (NMF), Kmeans with Vector Quantization (VQ) and Singular Value Decompostion (SVD)

Modeling Face Images with Nonnegative Matrix Factorization (NMF), Kmeans with Vector Quantization (VQ) and Singular Value Decompostion (SVD)

##### Statistical Inference and Modeling for High-throughput Experiments

Statistical Inference and Modeling for High-throughput Experiments

##### A Semi-Supervised Classification Algorithm using Markov Chain

A Semi-Supervised Classification Algorithm using Markov Chain

##### Solving the n-queen puzzle with Genetic Algorithm in R

Solving the n-queen puzzle with Genetic Algorithm in R

##### Some Observation Theory: LSE, WLSE and BLUE

Some Observation Theory: LSE, WLSE and BLUE

##### Estimating the value of the Percolation threshold via Monte Carlo simulation in R

Estimating the value of the Percolation threshold via Monte Carlo simulation in R

##### Google Page Rank, Power Iteration and the Second EigenValue of the Google Matrix

Google Page Rank, Power Iteration and the Second EigenValue of the Google Matrix

##### Kernel Denisty Estimation (KDE) and Kernel Regression (KR)

Kernel Denisty Estimation (KDE) and Kernel Regression (KR)

##### Some Statistics Concepts: Order Statistics and Application in Auction

Some Statistics Concepts: Order Statistics and Application in Auction

##### Some Statistics Concepts: Probability integral transformations

Some Statistics Concepts: Probability integral transformations

##### Solving Sudoku with Integer Programming in R

Solving Sudoku with Integer Programming in R

##### Solving Simple Probability Problems with Simulation

Solving Simple Probability Problems with Simulation

##### Distributed K-Means with R-Hadoop

Distributed K-Means with R-Hadoop

##### Kernel K-Means and Cluster Evaluation

Kernel K-Means and Cluster Evaluation

##### Implementing Low-Rank Matrix Factorization with Alternating Least Squares Optimization for Collaborative Filtering Recommender System in R

Implementing Low-Rank Matrix Factorization with Alternating Least Squares Optimization for Collaborative Filtering Recommender System in R

##### Radial Basis Function Classifier in R

Radial Basis Function Classifier in R

##### KMeans for Image Compression, PCA / MDS / SVD for Visualization in the reduced dimension

KMeans for Image Compression, PCA / MDS / SVD for Visualization in the reduced dimension

##### Testing Bayesian Concepts in R: using the Gaussian Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Gaussian Conjugate Priors to compute the Posterior Distribution

##### Gibbs Sampling to find the Best K-mer Motifs from a collection of Dna strings in R: BioInformatics Concepts

Gibbs Sampling to find the Best K-mer Motifs from a collection of Dna strings in R: BioInformatics Concepts

##### Modeling the growth of a sunflower with golden angle and Fibonacci numbers

Modeling the growth of a sunflower with golden angle and Fibonacci numbers

##### Testing Bayesian Concepts in R: using the Exponential-Gamma Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Exponential-Gamma Conjugate Priors to compute the Posterior Distribution

##### Testing Bayesian Concepts in R: using the Poission-Gamma Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Poission-Gamma Conjugate Priors to compute the Posterior Distribution

##### Testing Bayesian Concepts in R: using the Beta-Bernoulli Conjugate Priors to compute the Posterior Distribution

Testing Bayesian Concepts in R: using the Beta-Bernoulli Conjugate Priors to compute the Posterior Distribution

##### Locality Sensitive Hashing for image retrieval in R

Locality Sensitive Hashing for image retrieval in R

##### Locality Sensitive Hashing Implementation for Approximate Fast Nearest Neighbor Search in R

Locality Sensitive Hashing Implementation for Approximate Fast Nearest Neighbor Search in R

##### Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

Comparing Spectral clustering (with Normalized Graph Laplacian) with KMeans Clustering

##### Image clustering with GMM-EM soft clustering in R

Image clustering with GMM-EM soft clustering in R

##### Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D

Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D

##### Applying Linear PCA vs. Kernel PCA (with Gaussian Kernel) for dimensionality reduction on a few datasets in R

Applying Linear PCA vs. Kernel PCA (with Gaussian Kernel) for dimensionality reduction on a few datasets in R

##### Decision boundaries obtained with training some R library classifiers

Decision boundaries obtained with training some R library classifiers

##### Training Backpropagation Neural Nets on the handwritten digits dataset

Training Backpropagation Neural Nets on the handwritten digits dataset

##### Using Multiclass Softmax Multinomial Regularized Logit Classifier and One vs. all Binary Regularized Logistic Regression Classifier with Gradient Descent

Using Multiclass Softmax Multinomial Regularized Logit Classifier and One vs. all Binary Regularized Logistic Regression Classifier with Gradient Descent

##### Dual Percptron and Kernels: Learning non-linear decision boundaries

Dual Percptron and Kernels: Learning non-linear decision boundaries

##### Comparing GMM-EM soft clustering with KMeans hard clustering

Comparing GMM-EM soft clustering with KMeans hard clustering

##### Bias-Variance Trade-off - the impact of regularization on the Decision Boundary for the SVM and the Logistic Regression Classifier

Bias-Variance Trade-off - the impact of regularization on the Decision Boundary for the SVM and the Logistic Regression Classifier

##### Using Multivariate Gaussian, Mahalanobis Distance and F1 measure to choose the right probability threshold from the Validation to detect outliers

Using Multivariate Gaussian, Mahalanobis Distance and F1 measure to choose the right probability threshold from the Validation dataset to detect outliers

##### Using Low Rank Matrix Factorization for Collaborative Filtering Recommender System

Using Low Rank Matrix Factorization for Collaborative Filtering Recommender System

##### Using Expectation Maximization Algorithm for the Gaussian Mixture Models to detect outliers

Using Expectation Maximization Algorithm for the Gaussian Mixture Models to detect outliers

##### Using PCA to represnt digits in the eigen-digits space

Using PCA to represnt digits in the eigen-digits space

##### Using PCA to Detect Outliers in Images

Using PCA to Detect Outliers in Images

##### Association of life expectancy with other explanatory variables for different countries from the GapMinder dataset

Part of Coursera Data Analysis Tools Week 3 Assignment

##### Predicting life expectancy for different countries with the GapMinder dataset using Lasso Regression with R

Coursera ML for Data Analysis Week 3 Exercise

##### Crime Analytics: Visualization of Crime Incident Reports for Summar 2014 in San Francisco and Seattle

Part of week1 exercise for the Communicating Data Sciences Results Course

##### Comparing Brands with Sentiment Analysis

Sentiment Analysis

##### Classify Behaviour Patterns

Practical Machine Learning Project

##### Analyzing Activity Dataset

Reproducible Research: Peer Assessment 1

##### Analyzing the impacts of Severe Weather Events on Health and Economy

Reproducible Research Assignment 2