Atharv Gyan Beta

  Most Popular JavaScript Frameworks 1. Node.js 2. React 3. Vue.js 4. Angular 5. Ember.js What is a JavaScript framework? A JavaScript framework is a collection of pre-written code built to support applications and provide benefits that plain JavaScript does not offer on its own. If the idea of frameworks still isn't clear, consider a tent. You build a frame to provide the tent's structure. You can then add whatever you want on the outside and the inside of the tent. Obviously, JavaScript frameworks aren't physical structures like in our tent, but the concept is similar. Before diving into the most popular JavaScript frameworks, let's take a moment to answer two common questions. How is a JavaScript framework different from a JavaScript library? JavaScript libraries are collections of code designed for specific use cases. For example, Day.js is a library dedicated to simplifying the usage of dates in JavaScript — which can be complex even for seasoned developers. Anothe...

  Welcome, to everyone who’s ever gazed at a computer and thought, “I want to make you smarter!”   Machine Learning (ML) , a subset of artificial intelligence, is like teaching your computer to fish rather than just giving it a fish. Except replace ‘fish’ with ‘problem-solving capabilities’. Fun analogy, isn’t it? Brace yourself for an exciting journey through the wild west of machine learning algorithms. #1. Decision Trees: Make Choices Like a Machine Third, we introduce Decision Trees, the ultimate decision-making buddy. These algorithms work just like the game 20 Questions — you know, the one where you’re allowed to ask 20 yes-or-no questions to guess what the other person is thinking of? Decision Trees work similarly by splitting data into smaller subsets, making decisions at each node until they arrive at a prediction. It’s like navigating a maze by taking one turn at a time, and before you know it — voila! — you’ve found the cheese. But wait, there’s more! Decision Trees...

Artificial Intelligence (AI) revolution, the concept of Artificial General Intelligence (AGI) is increasingly attracting attention. AGI, a term coined by Mark Gubrud in 1997, refers to a type of AI that possesses the ability to understand, learn, adapt, and implement knowledge across a wide range of tasks at a level equal to or beyond that of a human being. But what if, instead of one monolithic AGI, we find ourselves in a world populated by groups or clusters of AGIs interacting with each other? This concept, which I call  Artificial General Intelligence (AGI) , offers a new perspective on AGI. It proposes that AGI, rather than being a singular entity, could evolve into a complex system of multiple interacting agents [1]. In the same way that humans tend to form groups for social, political, cultural, and scientific reasons, we can anticipate that multiple AGI agents will do the same.  What exactly does this mean? And why is it a more realistic depiction of where the world of...

How to Improve Your Data Structures and Algorithms with Problem Solving Skills Data structures and algorithms are two of the most important concepts in computer science. They are the foundation of many programming languages and are used in a wide variety of applications. If you want to be a successful software engineer, it is essential that you have a strong understanding of data structures and algorithms. This will allow you to write efficient and effective code that can solve real-world problems. I will discuss some tips on how to improve your data structures and algorithms skills. I will also discuss how these skills can help you develop your problem-solving skills. 1. Learn the basics The first step to improving your data structures and algorithms skills is to learn the basics. This includes understanding the different types of data structures and algorithms, as well as their time and space complexities. There are many resources available to help you learn the basics of data struct...