February 4, 2021

Implicit Recommender Systems with Alternating Least Squares

http://activisiongamescience.github.io/2016/01/11/Implicit-Recommender-Systems-Biased-Matrix-Factorization/ In today’s post, we will explain a certain algorithm for matrix factorization models for recommender systems which goes by […]
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 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

https://realpython.com/build-recommendation-engine-collaborative-filtering 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 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 […]
February 21, 2020

Walkthrough of an exploratory analysis for classification problems

In this post I outline how to perform an exploratory analysis for a binary classification problem. I am going to […]