What is machine learning?

Machine learning is indeed a branch of artificial intelligence (AI) that involves the development of algorithms and statistical models that enable computer systems to perform tasks without being explicitly programmed. In this context, it allows systems to learn from and make predictions or decisions based on data. By analyzing patterns and correlations within large datasets, machine learning models can improve their performance over time as they are exposed to more data, thereby enhancing their predictive accuracy.

The primary focus of machine learning is on creating models that can generalize from historical data to understand and predict outcomes for new, unseen data. This is a foundational aspect of data-driven decision-making, as it empowers organizations to leverage data to inform and improve their decisions.

While data entry automation and statistical analysis techniques may involve aspects of data handling or predictive capabilities, they do not encompass the broader functionality and adaptability of machine learning as it pertains to learning from data and improving through experience. Additionally, relating machine learning to business strategy in human resources does not accurately capture its definition and application within the field of AI.