While computer science fundamentals are often perceived as a field reserved for software developers or technology experts, it's actually a discipline anyone can learn and integrate into their daily lives. At its core lies the approach to identifying, analyzing, and effectively solving a problem. This allows for a wide range of benefits, from acquiring new skills to applying an analytical lens to everyday problems.
The Invisible Effect of Your Native Language In my 12 years of software development, I've noticed this: When learning multiple programming languages, your native language shapes your mindset. For example, the first language you learn influences how you use new languages. Often, you unknowingly write code in your native language. This can make it difficult to adapt to new technologies. However, it's possible to overcome this influence! Switching from PHP to Node.js […]
Data is at the core of everything we write code. Whether you're storing user information in a web application, calculating scores in a game, or performing data analysis, the secret to working with data lies in data types. So, what are data types, and why are they so important? In this article, we'll explore data types, the heart of programming. Using examples from my own experience, I'll explore this fundamental concept both in new ways and in new ways.
Greedy algorithms are a fundamental concept in computer science and mathematics and are often used to solve optimization problems by making locally optimal choices at each step. These algorithms are known for their simplicity and efficiency, making them an indispensable tool in various fields, including computer science, economics, and engineering. This article will examine the principles of greedy algorithms, explore their properties, and […]
In the ever-evolving field of artificial intelligence and machine learning, neural networks have emerged as one of the most powerful and versatile algorithms. Inspired by the human brain, these networks have made significant advances in solving complex tasks, from image recognition and natural language processing to autonomous driving and gaming. In this comprehensive guide, we explore the history, architecture, training methods, and practical […]
In machine learning, decision trees are both simple and powerful algorithms. They're frequently encountered in fields like finance, healthcare, and text analysis. So, what's the most critical part of these trees? Of course, leaf nodes! These structures, which we call "leaf nodes" or "end nodes" in Turkish, are the points that generate the final predictions of decision trees. In this article, we'll explain what leaf nodes are, […]
