December 18, 2020

How to determine epsilon and MinPts parameters of DBSCAN clustering

Every data mining task has the problem of parameters. Every parameter influences the algorithm in specific ways. For DBSCAN, the […]
November 24, 2020

A review on Deep learning based recommendation systems

Source: INTRODUCTION The number of research publications on deep learning-based recommendation systems has increased exponentially in the past recent […]
November 20, 2020

Four steps to setup Pytorch for my laptop GPU NVIDIA GTX 960m (Asus VivoBook n552vw) in Ubuntu 16.4

In this post, I’m gonna describe the steps I used to make Pytorch use GPU on my laptop (It takes […]
November 9, 2020

Restricted Boltzmann Machines (RBMs) Simply Explained

Contents Definition & Structure Reconstructions Probability Distributions Code Sample: Stacked RBMS Parameters & k Continuous RBMs Next Steps Other Resources […]
November 5, 2020

Collaborative Filtering based Recommendation methods Explained Collaborative Filtering is the most common technique used when it comes to building intelligent recommender systems that can learn […]
May 20, 2020

Transfer Learning in Convolutional Neural Networks simply explained

Transfer learning involves taking a pre-trained neural network and adapting the neural network to a new, different data set. Depending […]
May 9, 2020

Installing g++ (C++ Compiler) on Windows

Follow these steps to install g++ (the GNU C++ compiler) for Windows. There is no room for creativity here; you must […]
May 2, 2020

Kalman Filter Simply Explained

Let’s start from what a Kalman filter is: It’s a method of predicting the future state of a system based […]