Machine Learning in Statistics

Machine learning in statistics refers to the use of algorithms and mathematical models to analyze and make predictions from data. It involves teaching a computer system to recognize patterns and relationships in large datasets, enabling it to learn from past experiences and improve over time. This technology is widely used in various fields, such as finance, healthcare, and marketing, to make informed decisions, automate processes, and enhance insights. By leveraging statistical principles, machine learning helps transform raw data into valuable information.