COMPUTER FUNDAMENTALS

Detailed explanation-1: -What is true about Machine Learning? The main focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention. ML is a type of artificial intelligence that extracts patterns out of raw data by using an algorithm or method.

Detailed explanation-2: -We will look at seven significant machine learning limitations in this article. These restrictions include more interpretability and transparency, bias and discrimination, over-and under-fitting, computational resources, causation, ethical considerations, and poor data quality.

Detailed explanation-3: -Many machine learning algorithms require large amounts of data before they begin to give useful results. A good example of this is a neural network. Neural networks are data-eating machines that require copious amounts of training data. The larger the architecture, the more data is needed to produce viable results.