Machine Learning is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit programming. Instead of following pre-defined rules, machines learn from data to identify patterns, make decisions, and improve their performance over time. The learning process involves training algorithms on large datasets to recognize input-output relationships and generalize from examples. Machine learning can be categorized into several types, including supervised learning, unsupervised learning, and reinforcement learning, each with distinct methodologies and applications. It is widely used in various domains such as image and speech recognition, natural language processing, recommendation systems, and predictive analytics, driving advancements in technology and automation.
Artificial intelligence (AI) is revolutionizing industries and creating new opportunities for professionals with expertise in machine learning (ML). Recent data reveals that ML has become the most sought-after skill in…