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2021-02-19

5 mins read Data does not come in a usable format by default; a data science professional has to spend 70–80% of their […]

2021-02-15

Categories

16 mins read Intro and motivation In this post, I would like to describe in detail our setup and development environment (hardware and […]

2021-02-13

Categories

18 mins read Testing your code brings a wide variety of benefits. It increases your confidence that the code behaves as you expect and […]

2021-02-08

Categories

14 mins read Maximum Likelihood Estimation (MLE) and Maximum A Posteriori (MAP) estimation are methods of estimating parameters of statistical models. Despite a […]

2021-02-04

13 mins read In today’s post, we will explain a certain algorithm for matrix factorization models for recommender systems which goes by the […]

2020-12-18

9 mins read Every data mining task has the problem of parameters. Every parameter influences the algorithm in specific ways. DBSCAN (Density-Based Spatial […]

2020-11-24

20 mins read INTRODUCTION The number of research publications on deep learning-based recommendation systems has increased exponentially in the past recent years. In […]

2020-11-20

3 mins read In this post, I’m gonna describe the steps I used to utilize GPU for the PyTorch Deep Learning framework on […]

2020-11-18

8 mins read These notes are taken from the first two weeks of the Convolutional Neural Networks course (part of Deep Learning specialization) by Andrew Ng […]

2020-11-14

10 mins read In the following sections, we are going to implement linear regression in a step-by-step fashion using just Python and NumPy. We will […]

2020-11-13

10 mins read In this article, we are going to implement the most commonly used Classification algorithm called Logistic Regression. First, we will […]

2020-11-09

16 mins read Table of Content: Definition & Structure Reconstructions Probability Distributions Code Sample: Stacked RBMS Parameters & k Continuous RBMs Next Steps […]

2020-11-08

12 mins read The NumPy package is the workhorse of data analysis, machine learning, and scientific computing in the python ecosystem. It vastly simplifies manipulating […]

2020-11-05

29 mins read Collaborative Filtering is the most common technique used when it comes to building intelligent recommender systems that can learn to […]

2020-10-15

Categories

6 mins read Linux and Unix administrators usually prefer to work from a terminal. Hence to manage different tasks, the administrator has to […]

2020-10-14

Categories

13 mins read Is your VirtualBox virtual machine starting to run out of disk space? No worries, because VirtualBox allows you to easily […]

2020-07-24

12 mins read Image classification is a subset of machine learning that categorizes a group of images into labeled classes. We train an […]

2020-07-15

9 mins read Whenever you are using a Statistical, Econometrical, or Machine Learning model, no matter how simple the model is, you should […]

2020-07-13

17 mins read Neural networks can do a lot of different tasks. Whether it’s classifying data, like grouping pictures of animals into cats […]

2020-07-13

8 mins read Cross-entropy is a commonly used loss function for classification tasks. Let’s see why and where to use it. We’ll start with […]