MACHINE LEARNING

Detailed explanation-1: -Machine learning (ML) is the application of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as “training data, ‘’ in order to make predictions or decisions without being explicitly programmed to do so.

Detailed explanation-2: -Computer Science can be defined as the study of algorithms. This study encompasses four distinct areas: Machines for executing algorithms. Languages for describing algorithms.

Detailed explanation-3: -An ML algorithm, which is a part of AI, uses an assortment of accurate, probabilistic, and upgraded techniques that empower computers to pick up from the past point of reference and perceive hard-to-perceive patterns from massive, noisy, or complex datasets.

Detailed explanation-4: -Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.