Machine learning (ML) is a type of artificial intelligence (AI) that enables computers to learn and improve their performance on tasks without being explicitly programmed. It involves the use of algorithms that can automatically learn and improve from data, without the need for human intervention.
ML has seen significant growth in recent years and is being used in a variety of industries, including healthcare, finance, and transportation. In healthcare, ML is being used to analyze large amounts of medical data to help doctors make more accurate diagnoses and treatment recommendations. In finance, it is being used to detect fraudulent activity and to make investment decisions. In transportation, it is being used to improve the efficiency of self-driving cars and to optimize routes for delivery trucks.
While ML has the potential to revolutionize many industries and make tasks more efficient, there are also concerns about the potential negative impacts of this technology, such as job displacement and the potential for biased algorithms. As a result, there is ongoing debate about how to regulate and manage the use of ML.