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 to MLOps in Practice MLOps, or Machine Learning Operations, is a set of practices, tools, and processes that enable the effective deployment, management, and scaling of machine learning models in production environments. Modern organizations are increasingly leveraging artificial intelligence to solve key business problems, but building a model is only the beginning. The real

Introduction to Transfer Learning In recent years, transfer learning has become one of the most powerful techniques in the field of machine learning and artificial intelligence. Traditionally, building effective machine learning models required large amounts of labeled data and significant computational resources. However, transfer learning offers a way to leverage knowledge gained from one task

Introduction: The Rise of Large-Scale AI Deployment Artificial intelligence has rapidly evolved from a research-driven field to a core component of modern enterprise solutions. As organizations increasingly recognize the value of AI, the focus has shifted from isolated experiments to deploying AI models at scale in production environments. This transition brings both significant opportunities and