AI & ML

Artificial Intelligence and Machine Learning (AI & ML) collectively refer to the field of computer science focused on creating systems that mimic human intelligence and learn from data to perform tasks autonomously. AI, originating in the 1950s with pioneers like Alan Turing, encompasses a broad range of techniques enabling machines to reason, perceive, and interact intelligently, including subfields like natural language processing, computer vision, and robotics. Machine Learning (ML), a core subset of AI, emphasizes algorithms that learn patterns from data without explicit programming, using approaches like supervised learning (e.g., classification, regression), unsupervised learning (e.g., clustering), and reinforcement learning, with deep learning driving advancements in complex tasks like image and speech recognition. Widely implemented using Python for its rich libraries (e.g., TensorFlow, PyTorch, scikit-learn) and deployed on Linux-based servers with MySQL for data management, AI & ML power applications such as virtual assistants, autonomous systems, recommendation engines, and predictive analytics.