Машинне навчання та штучний інтелект: можливості та виклики

Abstract

Artificial intelligence (AI) and machine learning (ML) are transforming various industries, enhancing automation and decision-making. This paper explores key ML methods—supervised, unsupervised, and reinforcement learning—along wІТh their applications, advantages, and limІТations. Popular tools such as ScikІТ-learn, TensorFlow, and AutoML simplify AI implementation. DespІТe ІТs potential, AI poses challenges like ethical concerns and job displacement. The future of AI depends on improving explainabilІТy, securІТy, and ethical standards for responsible integration into daily life.