MACHINE LEARNING

Detailed explanation-1: -One of the biggest issues in machine learning is ethics. Trusting and relying on algorithms for automation, analysis, and decision-making is good. Yet, there are a few challenges, since these algorithms may also be vulnerable towards biases at a developmental level, especially since they are trained by human beings.

Detailed explanation-2: -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-3: -Noisy data, incomplete data, inaccurate data, and unclean data lead to less accuracy in classification and low-quality results. Hence, data quality can also be considered as a major common problem while processing machine learning algorithms.