Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on enabling computers to learn from data. It involves the use of algorithms to identify patterns in data and make predictions or decisions with minimal human intervention. The goal is for machines to improve their learning accuracy as they are trained on datasets. ML is considered a subfield of software engineering, requiring proficiency in programming and familiarity with software engineering tools.
ML is being implemented across various industries, including cybersecurity, healthcare, and finance. It is used for tasks such as malware detection, fraud detection, diagnosing diseases, and predicting stock market trends. Machine learning algorithms are also capable of real-time language translation and can be used to generate art. The global machine learning market is experiencing rapid growth, with projections estimating it will reach $117 billion by 2027. As AI continues to evolve, ML specialists are expected to be in high demand, with an anticipated 82% net job growth between 2025 and 2030.