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Articles on Trending Technologies
Technical articles with clear explanations and examples
Cloud Computing in Natural Hazard Modelling Systems
Natural hazard modelling techniques can be used to more accurately anticipate and prepare for natural disasters like cyclones, earthquakes, floods, and landslides. These instruments can offer crucial information to first responders and legislators during a disaster. Natural hazard modelling systems still need a lot of storage and processing power, which can be problematic for organizations with a restricted budget or available space. Cloud computing is a great way to simulate complicated models because it can be extended and changed, and cloud computing is a workable answer to this problem. In this essay, we'll talk about Cloud Computing in natural hazard ...
Read MoreWhat is the difference between a weak reference and an unowned reference?
Understanding iOS memory management is essential for iOS and macOS development. The concept of weak self and unowned self is challenging to understand, especially for beginners. ARC (Automatic Reference Counting) may have solved many problems for us. Swift still requires that you manage references a lot of the time when you are not working with value types. ARC or Automatic Reference Counting Automatic Reference Counting (ARC) is used for tracking and managing the app’s memory usage. In most cases, this means that memory management “just works” in Swift, and you don’t need to think about memory management yourself. ARC automatically ...
Read MoreNon-Negative Matrix Factorization
Introduction Non-Negative Matrix Factorization (NMF) is a supervised algorithm used to represent data into lower dimensions which reduces the number of features while preserving enough basic information to construct the original matrix from the reduced feature space. In this article, we will be going explore more about NMF and how it can be useful. Non-Negative Matrix Factorization NMF is used to reduce the dimensions of the input matrix or corpus. It uses factor analysis which gives less importance to less relevant words. The decomposition of the original matrix(which is a non-negative matrix) thus creates a product of two non-negative coefficients ...
Read MoreDifference between devconsole, devtty, and devtty0
Introduction In a Linux operating system, every hardware device and most software components are represented as files in /dev directory. Three commonly used devices in /dev directory are devconsole, devtty, and devtty0. These devices are essential for debugging and troubleshooting purposes. However, they have different functionalities and can be confusing for beginners. In this article, we will explain difference between devconsole, devtty, and devtty0, their uses, and how to interact with them. What is Devconsole? Devconsole is a virtual device file that represents console, which is default terminal on a Linux system. It is also known as kernel console or ...
Read MoreHow to Use Multiple Databases with docker-compose?
Introduction Docker is a popular platform for deploying and running applications in a containerized environment. It provides an efficient way to package, distribute and run applications with all their dependencies. One of main advantages of using Docker is that it enables use of multiple databases in an efficient way using docker-compose. Docker-compose is a tool for defining and running multi-container Docker applications. It allows you to define configuration of different containers in a single YAML file, which can be used to start, stop and manage containers. In this article, we will discuss how to use multiple databases with Docker-compose. Prerequisites ...
Read MoreImplementation of Particle Swarm Optimization
Introduction The Particle Swarm Optimization algorithm is inspired by nature and is based on the social behavior of birds in a flock or the behavior of fish and is a population-based algorithm for search. It is a simulation to discover the pattern in which birds fly and their formations and grouping during flying activity. Particle Swarm Optimization Algorithm In the PSO Algorithm, each individual is considered to be a particle in some high-dimensional search space. Inspired by the social and psychological behavior of people, which they tend to copy from other people's success, similar changes are made to the particles ...
Read MoreHow to Become an RPA Developer?
Introduction RPA stands for Robotic Process Automation. An RPA developer is a person who designs, maintains, builds, and implements RPA systems. In an organization, an RPA developer has the role to create optimized workflow processes and work cross-functionally with operations and business analysts. Scope of an RPA Developer Today the world is moving towards automation where organizations maximum repetitive processes to be automated as much as possible. Thus the demand for highly skilled RPA professionals has gained pace. With the right skill set, RPA developers can fill the in the respective domains. An RPA developer is essentially a software developer ...
Read MoreExploratory Data Analysis (EDA) - Types and Tools
Introduction Exploratory Data Analysis (EDA) is the process of summarization of a dataset by analyzing it. It is used to investigate a dataset and lay down its characteristics. EDA is a fundamental process in many Data Science or Analysis tasks. Different types of Exploratory Data Analysis There are broadly two categories of EDA Univariate Exploratory Data Analysis – In Univariate Data Analysis we use one variable or feature to determine the characteristics of the dataset. We derive the relationships and distribution of data concerning only one feature or variable. In this category, we have the liberty to use either ...
Read MoreDocument Retrieval using Boolean Model and Vector Space Model
Introduction Document Retrieval in Machine Learning is part of a larger aspect known as Information Retrieval, where a given query by the user, the system tries to find relevant documents to the search query as well as rank them in order of relevance or match. They are different ways of Document retrieval, two popular ones are − Boolean Model Vector Space Model Let us have a brief understanding of each of the above methods. Boolean Model It is a set-based retrieval model.The user query is in boolean form. Queries are joined using AND, OR, NOT, etc. A document ...
Read MoreDeepWalk Algorithm
Introduction The graph is a very useful data structure that can represent co-interactions. These co-interactions can be encoded by neural networks as embeddings to be used in different ML Algorithms. This is where the DeepWalk algorithm shines. In this article, we are going to explore the DeepWalk algorithm with a Word2Vec example. Let us learn more about Graph Networks on which the core of this algorithm is based. The Graph If we consider a particular ecosystem, a graph generally represents the interaction between two or more entities. A Graph Network has two objects – node or vertex and edge. ...
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