Algorithms

🗃️ Dutch National Flag Algorithm

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📄️ Hashing Algorithm

Hashing is a technique used to uniquely identify a specific object from a group of similar objects. It involves mapping large data to fixed-size values.

📄️ N-Queens Problem

The N-Queens problem is a classic backtracking problem where the objective is to place N queens on an N×N chessboard such that no two queens threaten each other.

📄️ Modular Exponentiation

Modular Exponentiation is an algorithm used to efficiently compute large powers modulo a number, using a technique called exponentiation by squaring.

📄️ Dijkstra's Algorithm

This post covers Dijkstra's Algorithm for finding the shortest paths in a graph, with code examples and explanations.

📄️ YOLO Object Detection ML Algorithm

YOLO (You Only Look Once) is a popular deep learning algorithm for real-time object detection that divides images into grid cells and predicts bounding boxes and class probabilities for each cell.

📄️ Applications of Linked List

Applications of Linked List in various fields including data structures, operating systems, and dynamic memory allocation.

📄️ CNN Deep Learning Algorithm

Convolutional Neural Networks (CNNs) are specialized deep learning architectures that are particularly effective for image processing tasks due to their ability to capture spatial hierarchies in data.

📄️ RNN ML Algorithm

Recurrent Neural Networks (RNNs) are a type of neural network designed to recognize patterns in sequences of data, including time-series data, language processing, and other sequence-related tasks.

📄️ Applications of Recursion

Applications of Recursion in various fields, including algorithm design, problem-solving, and real-world use cases.

📄️ Computer Vision Algorithm

Computer Vision (CV) enables machines to interpret and understand visual data from the world. It is widely applied in tasks such as object detection, image classification, and facial recognition.

📄️ Buchberger's Algorithm

Definition

📄️ Generative Adversarial Networks

Generative Adversarial Networks (GANs) are a deep learning model that generate new data samples by training two neural networks in opposition. They are widely used in tasks such as image generation, style transfer, and data augmentation.

📄️ SMAWK Algorithm

Definition

📄️ Algorithm for Bloom Filters

Bloom Filters are probabilistic data structures used in applications where space efficiency is crucial, and approximate answers are acceptable, like database caching and network filtering.