Technology

Introduction to Explainable AI (XAI) What is Explainable AI and Why is it Important? Explainable AI (XAI) is a field focused on developing methods and tools that make it possible to understand how and why AI models make certain decisions. As complex models such as deep neural networks or ensemble learning algorithms become more popular,

Introduction: What is Machine Learning and What is Deep Learning? Modern artificial intelligence (AI) is based on two key approaches: Machine Learning (ML) and Deep Learning (DL). Although these terms are often used interchangeably, in reality they refer to different technologies and methods of data analysis. Machine Learning is a field of computer science focused

Introduction: The Importance of Hyperparameter Optimization Hyperparameter optimization is one of the key stages in building effective artificial intelligence models. Proper selection of these parameters can significantly improve model performance, while suboptimal settings often lead to poor results, overfitting, or underfitting. What are Hyperparameters and Why Are They Important? Hyperparameters are external settings of a

Introduction to AI Model Optimization Why is AI Model Optimization Important? AI model optimization is a crucial step in the machine learning lifecycle, directly impacting the efficiency, accuracy, and scalability of AI solutions. As organizations increasingly rely on AI to automate processes, make predictions, and drive business value, the need to optimize models becomes more

Introduction to Transfer Learning What is Transfer Learning and Why is it Important? Transfer learning is an artificial intelligence technique that involves leveraging knowledge gained by a model while solving one task to accelerate and improve learning in another, often related, task. Instead of training a model from scratch, we use pre-trained models that have

Introduction: The Role of AI in Modern Projects Artificial intelligence (AI) has become one of the key elements of digital transformation across many industries. Companies are increasingly using AI to automate processes, analyze large datasets, personalize services, and optimize costs. In practice, implementing AI is not just about building a model, but also about integrating

Introduction: Taking Your First Steps with AI Agents in Python Artificial intelligence is increasingly present in everyday life—from intelligent voice assistants and recommendation systems to autonomous vehicles. One of the key elements of AI are agents, which are programs capable of making decisions independently based on data from their environment. Learning how to create your

Introduction to AI Agents Artificial intelligence (AI) is a field of computer science that enables machines to perform tasks requiring intelligence, such as understanding language, recognizing images, or making decisions. One of the most important concepts in AI is the agent. An AI agent is a program or system that can independently observe its environment,