Machine Learning Applications: Real-World Use Cases
Introduction These days, in the digital age, two of the most revolutionary technologies are artificial intelligence (AI) and machine learning (ML). Despite their frequent interchangeability, they serve different purposes. While machine learning (ML) is a subset of artificial intelligence (AI) that focuses on algorithms that can learn and get better over time, artificial intelligence (AI) is a wide term that includes robots made to emulate human intellect. Leveraging AI and machine learning's full potential across businesses requires an understanding of their distinctions. Defining Artificial Intelligence The capacity of robots to carry out activities that normally require human intelligence is referred to as artificial intelligence (AI). Problem-solving, judgment, language comprehension, and pattern identification are some of these activities. Artificial intelligence (AI) systems are designed to mimic human cognitive processes using neural networks, deep le...