Artificial intelligence (AI) is a broad field that encompasses a range of techniques and approaches aimed at creating intelligent machines. Within the realm of AI, machine learning (ML) is a subset that focuses on developing algorithms that enable machines to learn from data and improve their performance over time.
Machine learning is a key enabler of AI, as it provides the foundation for machines to acquire knowledge, reason, and make decisions. ML algorithms are designed to analyze data, identify patterns, and make predictions or take actions based on that data.
The primary goal of machine learning is to develop algorithms that can learn from experience and improve their performance without being explicitly programmed. This is achieved through various techniques, including supervised learning, unsupervised learning, and reinforcement learning.
Machine learning has numerous applications across industries, including image and speech recognition, natural language processing, predictive analytics, and decision-making. As AI continues to evolve, machine learning will remain a crucial subset, driving innovation and advancements in the field.
