masinõppimist
Masinõppimist, also known as machine learning, is a subset of artificial intelligence that involves training algorithms to make predictions or decisions without being explicitly programmed. The process involves feeding large amounts of data into mathematical models, allowing them to learn and improve their performance on a specific task over time. This field has gained significant attention due to its applications in various industries, including healthcare, finance, and autonomous vehicles.
There are several types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised
Deep learning is a specialized subset of machine learning that uses artificial neural networks with many layers
The success of machine learning algorithms often depends on the quality and quantity of data available. Data
Masinõppimist has the potential to revolutionize many industries by enabling more accurate predictions, improved decision-making, and