Data-Driven Astronomy The following problems appeared as assignments in thecoursera courseData-Driven Astronomy. One of the most widely used formats for astronomical images is theFlexible Image… Read More »Some Analysis with Astronomy data (in Python)
This problem appeared as a project in the edX course ColumbiaX: CSMM.101x Artificial Intelligence (AI). In this assignment an agent will be implemented to solve the… Read More »Using Uninformed & Informed Search Algorithms to Solve 8-Puzzle (n-Puzzle) in Python
The following problems appeared in the first few assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the… Read More »Deep Learning with TensorFlow in Python
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles dataset (with 1000 points) with only 2 points labeled… Read More »A Semi-Supervised Classification Algorithm using Markov Chain and Random Walk in R
This article describes a few approaches and algorithms for temporal neighborhood discretization from a couple of papers accepted and published in the conference ICDM (2009) and in the journal IDA (2014),… Read More »Discovery of Temporal Neighborhoods through Discretization Methods and Markov Model
This problem appeared as an assignment in the coursera course Natural Language Processing (by Stanford) in 2012. The following description of the problem is taken directly… Read More »Some NLP: Probabilistic Context Free Grammar (PCFG) and CKY Parsing in Python
The following problems appeared in the exercises in the Coursera course Image Processing (by Northwestern University). The following descriptions of the problems are taken directly from the… Read More »Some Image and Video Processing: Motion Estimation with Block-Matching in Videos, Noisy and Motion-blurred Image Restoration with Inverse Filter in Python and OpenCV
Poisson Image Editing The goal of Poisson image editing is to perform seamless blending of an object or a texturefrom a source image (captured by a mask image) to a target image. We want to create… Read More »Some Variational Image Processing: Poisson Image Editing and its applications in Python
The following problems appeared in the assignments in the Udacity course Deep Learning (by Google). The descriptions of the problems are taken from the assignments (continued… Read More »Deep Learning with TensorFlow in Python: Convolution Neural Nets
In this article, an R-hadoop (with rmr2) implementation of Distributed KMeans Clustering will be described with a sample 2-d dataset. First the dataset shown below is horizontally partitioned into 4 data subsets… Read More »Distributed K-Means with R-Hadoop
