Algorithms are widely used throughout all areas of IT. In mathematics, computer programming and computer science, an algorithm usually refers to a small procedure that solves a recurrent problem. Algorithms are also used as specifications for performing data processing and play a major role in autom...
Competitive programming is an excellent platform for developing logical thinking and analytical skills. The process of solving algorithmic problems requires individuals to think logically step-by-step, considering all possible scenarios and edge cases. This practice strengthens their ability to reason through...
Algorithms are eventually expressed in a programming language that a computer can process. However, when an algorithm is being created, it will be people, not a computer, who will need to understand it. For this reason, as a first step, algorithms are written as plain instructions. Example ...
The simplest form of machine learning is calledsupervised learning, which involves the use of labeled data sets to train algorithms to classify data or predict outcomes accurately. In supervised learning, humans pair each training example with an output label. The goal is for the model to learn ...
Structured programming is a procedural programming subset that reduces the need for goto statements. In many ways, OOP is considered a type of structured programming that deploys structured programming techniques. Certain languages – like Pascal, Algorithmic Language (ALGOL) and Ada – are designed ...
Blue Ocean Strategydeveloped byINSEADprofessors focuses on creating uncontested market space. It rejects traditional competitive thinking in favor of value innovation. The key principles include: Breaking the value-cost trade-off Creating new demand ...
In programming, we first write a program in high level programming language like C++, Java, etc. After writing the program, we compile it. After compilation, a machine code is generated. The machine code is in binary language and thus understood by the computer. So, Coding works in three ...
Machine learning (ML) is an approach in which computers improve their performance by learning from data rather than following explicit programming for every task. It allows AI to handle a diverse range of tasks by finding patterns and making predictions. Here's how this works. Supervised Learnin...
In finance, AI drives algorithmic trading for optimal returns and employs fraud detection systems to protect against financial crimes. On the customer side of finance, AI is enhancing customer service and support through 24/7 virtual agents and chatbots. ...
These are just some of the promising applications of AI in tackling global problems. But remember that AI is a tool, and its effectiveness depends on responsible development and implementation. Conclusion Artificial intelligence has the potential to be a transformative force, not just for businesses ...