Benjamin QoChuk, PhD - OpenGenus IQ: Learn Computer Science

Stacking in Machine Learning

Stacking (a.k.a Stack Generalization) is an ensemble technique that uses meta-learning for generating predictions. We have explained stacking in Machine Learning (ML) in depth.

Software Engineering

Basics of Unordered multiset in C++

An unordered multiset is an unordered set (a set in which a key can be stored in any random order) that allows different elements to have equivalent values (allows duplicate items).

Software Engineering

Basic commands for using VIM editor like a Pro

In this guide, we have presented all basic commands that you will need to use VIM editor for doing all tasks efficiently. You will learn how to search for a word, how to replace the word, select, copy, paste, using various special features of VIM and much more.

Software Engineering

Create a custom UITableView in iOS using Swift

Create an iOS app which has a custom table view (UITableView) using MVC pattern using Swift.

Machine Learning (ML)

Concept Whitening in Machine Learning

Concept Whitening is a technique that can be used to find the inner functioning. The difference in its approach is that rather than searching for solutions in the trillions of trained parameters it tries to find answers by interpreting the networks.

Software Engineering

Immediate Functions in C++

Immediate functions or the functions which have consteval keyword before their return type has been introduced with the release of C++ 20 , consteval functions are the functions that must be evaluated at compile time to produce a constant.

Software Engineering

Explicit in C++

Explicit is a keyword in C++ which was introduced with C++ 11 this is used to cast a data type and also to change the by default implicit conversion in C++.

Machine Learning (ML)

ELMo: Deep contextualized word representations

ELMo is the state-of-the-art NLP model that was developed by researchers at Paul G. Allen School of Computer Science & Engineering, University of Washington. In this article, we will go through ELMo in depth and understand its working.

Machine Learning (ML)

Differentiating fake faces using simple ML and computer vision

We have explored a technique to Differentiate fake faces using simple Machine Learning (ML) and computer vision. We have used Large-scale CelebFaces Attributes dataset.

Software Engineering

Introduction to Ruby Programming Language

This is Introduction to Ruby Programming Language. Ruby is an interpreted, high-level, general-purpose programming language that was designed and developed by Yukihiro "Matz" Matsumoto in the mid-1990s.

Software Engineering

Using Firestore Database with React App

We will build the react app which shows the visitor details and stores the visitor detail in database . For the database , we will use firebase firestore. We will add the feature to delete records in database as well.

Machine Learning (ML)

Different Basic Operations in CNN

We have explored the different operations in CNN (Convolution Neural Network) such as Convolution operation, Pooling, Flattening, Padding, Fully connected layers, Activation function (like Softmax) and Batch Normalization.

Software Engineering

Guide to deploy a Python Web app on Heroku

This is a guide on how to deploy a web application based on a Python framework (like Flask) using an HTTP server like Gunicorn on Heroku (a PaaS).

Software Engineering

Designing and implementing Binary Tree in JavaScript

We have investigated the fundamentals and use of double trees/ Binary tree and how to implement Binary Tree in JavaScript along with all basic operations of binary tree in JavaScript.

Machine Learning (ML)

ResNet50 v1.5 architecture

ResNet50 v1.5 is the modified version of the original ResNet50 model. ResNet50 v1.5 is slightly more accurate (0.5%) and slightly lower performance (down by 5%) compared to ResNet50.

Machine Learning (ML)

BERT base vs BERT large

BERT base model has 12 encoder layers stacked on top of each other whereas BERT large has 24 layers of encoders stacked on top of each other.

Machine Learning (ML)

The Idea of Indexing in NLP for Information Retrieval

We have explored the fundamental ideas for Information Retrieval that is Indexing Data. We have covered various types of indexes like Term document incidence matrix, Inverted index, boolean queries, dynamic and distributed indexing, distributed indexing and Dynamic Index.

Machine Learning (ML)

Wide and Deep Learning Model

Wide and Deep Learning Model is a ML/ DL model that has two main components: Memorizing component (Linear model) and a Generalizing component (Neural Network) and a cross product of the previous two components. Wide and Deep Learning Model is used in recommendation systems.

Machine Learning (ML)

RoBERTa: Robustly Optimized BERT pre-training Approach

RoBERTa (Robustly Optimized BERT pre-training Approach) is a NLP model and is the modified version (by Facebook) of the popular NLP model, BERT. It is more like an approach better train and optimize BERT (Bidirectional Encoder Representations from Transformers).

Machine Learning (ML)

Filtering spam using Naive Bayes

Naive Bayes is a Bayes Theorem-based probabilistic algorithm used in data analytics for email spam filtering. In this article, we have explored the step to filter spam using Naive Bayes in depth.

Software Engineering

Capitalize letters in Python

In this article, we have covered how to capitalize the first letter using capitalize() in Python, convert the entire string to upper-case, convert the entire string to lower-case and capitalize first letter of each word.

Machine Learning (ML)

Disadvantages of GANs || Am I real or a Trained Model to write?

We have explored the problems with GANs in this article and have divided them into two major parts: General Problems with GANs and Technical Disadvantages of GANs.

Machine Learning (ML)

Elastic Net Regularization

Elastic Net Regularization is a regularization technique that uses both L1 and L2 regularizations to produce most optimized output. This is one of the best regularization technique.

Software Engineering

Implementation of ls command in C

In this article, we have implemented the ls command in C using dirent header library. ls command is used to list the files and directories in a given location.

Machine Learning (ML)

BERT and SEARCH: How BERT is used to improve searching?

In this article, we have explored how BERT model can be used to improve search results in search engines like Google Search, Bing and others.