gravatar

sandipan

Sandipan

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
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