HTML The <noscript> Tag in HTML In this article, we have explained the concept of noscript tag in HTML and how and when it is used in a webpage.
Natural Language Processing (NLP) Different Techniques for Sentence Semantic Similarity in NLP Sentence Semantic similarity is a crucial task in natural language processing (NLP) that involves determining how similar two sentences or phrases are in meaning. There are different types of semantic similarity measures that can be used in NLP.
Data Structures B Tree in C++ with OOP and template B-trees are frequently implemented in C++ as templates, allowing for flexible customization for various data and application types. The balanced tree structure of the B-tree data structure makes it ideal for efficient data searching, insertion, and deletion.
Data Structures Fenwick Tree vs Segment Tree In this article, we will understand the difference between two key data structures namely Fenwick Tree/ Binary Indexed Tree (BIT) and Segment Tree. We solve the problem "Sum Query Mutable" to explore the differences.
Machine Learning (ML) Decision Boundary in ML Decision boundary is a crucial concept in machine learning and pattern recognition. It refers to the boundary or surface that separates different classes or categories in a classification problem.
Odisha Technical Authorship Contest (OTAC) OTAC 2023 Leaderboard - Results announced Odisha Technical Authorship Contest 2023 (OTAC) is in progress. This leaderboard is updated in realtime and will be finalized when OTAC 2023 ends (that is on 15 May 2023). Participants can join and work towards victory meanwhile.
Search Algorithms OOP design for Search Algorithms In this article, we have presented good implementation designs considering there are multiple search algorithms and different data types.
Machine Learning (ML) Data Sampling and Data Splitting in ML In this article, we will explore the concept of Data Sampling and Data Splitting in Machine Learning.
System Design File Systems in Database In this article, we will learn what is file organization and what are benefits of doing it. We already know that data is stored in database, when we refer this data in terms of RDBMS we call it collection of inter-related tables.
Indian Railways Block Instruments used in Indian Railways A Block Instrument is the apparatus kept at a block station where station master use this to give line clear to or receive line clear from adjacent block station. It is basically a communication equipment between two block station used to implement absolute block working.
Deep Learning Variance in DL In deep learning, variance refers to the variability or inconsistency of the model's performance when trained on different subsets of the training data. A high variance model is one that overfits to the training data and does not generalize well to unseen data.
backtracking Shortest path in a Maze using Backtracking In this article, we have covered the topic on finding the Shortest path in a Maze using Backtracking. We have presented the Time and Space Complexity for various cases.
Natural Language Processing (NLP) Different techniques for Document Similarity in NLP In Natural Language Processing (NLP), Document Similarity Calculation is a crucial task that involves checking how similar two or more documents are. This article shall focus on its use cases, the concept behind different techniques of document similarity, and their implementations in Python.
Sorting Algorithms OOP design for Sorting Algorithms In this article, we have presented good implementation designs considering there are multiple sorting algorithms and different datatypes.
Minimum Spanning Tree (MST) Water distribution [solved using Minimum Spanning Tree] In this article, we have solved the problem of Water distribution using Minimum Spanning Tree, Union Find and Sorting Algorithms.
Machine Learning (ML) Bias Variance tradeoff An essential idea in statistical learning and machine learning is the bias-variance tradeoff. It speaks to the connection between a model's complexity and its precision in fitting the data.
Natural Language Processing (NLP) Paraphrasing in NLP For this article, our aim would be to analyze different paraphrasing algorithms and their implementation in Python.
Natural Language Processing (NLP) Chunking and Chinking in NLP One important aspect of NLP is chunking, which involves the extraction of meaningful phrases or chunks from text data. Chinking is a related technique that involves the exclusion of certain words or phrases from a chunk.
Machine Learning (ML) Gibbs Sampling Gibbs Sampling is a statistical method for obtaining a sequence of samples from a multivariate probability distribution.
C++ bli_malloc_user [explained with C++ code] In this article at OpenGenus, we have explored bli_malloc_user in depth. bli_malloc_user() is a memory allocation API available in BLIS, a library.
HTML Pagination in HTML/CSS Pagination is a common feature in web development that allows users to navigate through large sets of data or content. In this article, we will explore how to implement pagination using HTML and CSS.
Python Python Script to Like Recent Tweets with a Particular Hashtag In this article, we have developed a Python Script to Like Recent Tweets with a Particular Hashtag. We have developed 2 approaches: one using tweepy library and other using requests library to make direct API calls to Twitter API.
Java Java program for Compound Interest In this article, we have explored the concept of Compound Interest and implemented a Java program to compute Compound Interest.
System Design System Design of Car Rental System In this article, we will take a look at the key features a car rental system needs to offer, its high-level, low-level design, database design, and some of the already existing car rental software.
C++ Trie in C++ using OOP concepts In this article, we'll look at how the Trie data structure is implemented in C++ using principles of object-oriented programming (OOP).
