My exercise for Coursera Machine Learning Course.
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Updated
Feb 9, 2017 - MATLAB
My exercise for Coursera Machine Learning Course.
A repository for courses done on Coursera.
[ICAPR 2017] Image Hash Minimization for Tamper Detection
Unsupervised instance selection via conjectural hyperrectangles
Implementation of popular regression, classification and clustering techniques from scratch math.
The project involves Hopfield models, supervised learning and unsupervised learning.
Explore insightful projects on data analysis with MATLAB: k-means, k-medoid, and LDA. Polished PDF reports generated using LaTeX showcase valuable insights from diverse datasets. Discover the power of numerical methods in extracting knowledge from data!
The Growing Hierarchical Neural Gas Self-Organizing Neural Network
Machine Learning notes based on a course taught by Andrew Ng.
Code for the analysis conducted in the paper "On the Importance of Hidden Bias and Hidden Entropy in Representational Efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines"
Implementation of various supervised and unsupervised machine learning algorithms in MATLAB using C/C++
Sparse Autoencoder based on the Unsupervised Feature Learning and Deep Learning tutorial from the Stanford University
Image Compression with K - Means Clustering
This is where I play and learn about machine learning applications.
Unsupervised Algorithm to extract foreground and background patches from a video
Certification of course taught by Andrew Ng - Machine Learning (Stanford)
Solutions for the Coursera Machine Learning Course (Andrew Ng).
My solutions to the programming assignments of the machine learning course.
Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"
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