Masinõppepõhiseid

Masinõppepõhiseid, often translated as machine learning-based, refers to systems, algorithms, or applications that leverage the principles and techniques of machine learning to achieve their functionality. Machine learning is a subfield of artificial intelligence that enables computers to learn from data without being explicitly programmed. Instead of relying on predefined rules, machine learning models identify patterns, make predictions, and improve their performance through exposure to datasets.

These machine learning-based approaches are employed across a wide spectrum of industries and applications. Examples include recommendation engines that suggest products or content, spam filters that identify unwanted emails, image recognition systems that classify visual information, and natural language processing tools that understand and generate human language. The core idea is to build systems that can adapt and evolve as they encounter new data, leading to more sophisticated and effective solutions. The development of machine learning-based systems typically involves data collection, model selection, training, and evaluation phases. The effectiveness of such systems is highly dependent on the quality and quantity of the data used for training.