A set of machine learning experiments in Clojure
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Updated
Nov 30, 2012 - Clojure
A set of machine learning experiments in Clojure
My Master's thesis on Bayesian Classification with Regularized Gaussian Models
Eigenvalue Decay is a new option of weight regularizer to the deep learning practitioner that aims at maximum-margin learning.
Applied Machine Learning
Jackstraw Weighted Shrinkage Methods
Regularized and Pruned Extreme Learning Machines in R
Harvard Project - Accuracy improvement by adding seasonality premium pricing
This repository contains projects from Andrew NG's Machine Learning course at Coursera
Exploration of dataset https://archive.ics.uci.edu/ml/datasets/SUSY
MVPA tutorial - Rogers lab brain imaging unit
Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).
Higher-order non-submodular pseudo-boolean optimization
Octave code/fragments/notes based off of lecture videos
This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.
classification, regression implemented by tensorflow
ITBA, Clase de regularizacion y overfitting
Recherche de composante(s) explicative(s) par pénalisation (RCEP)
Predict Ads click through rates using Logistic Regression. Implemented Stochastic Gradient Descent, L2 regularization, Hash Kernel
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