AI Simplified: Understanding Machine Learning, Deep Learning, and Feature Extraction

Artificial intelligence (AI) encompasses machine learning and deep learning, aiming to create intelligent machines capable of tasks that typically require human intelligence, like understanding language, recognizing objects, and solving problems [Wong2023science,Paul_2021,Bender2021].

Machine learning focuses on creating algorithms and models that learn from data to make predictions or decisions. Deep learning, a subset of machine learning, utilizes artificial neural networks with multiple layers to process and learn from data.

Feature extraction is crucial in this process. It identifies and selects relevant features from raw data, capturing the most important information for learning. This reduces data complexity and improves the efficiency and accuracy of AI models [Gorai2022insudesign,Wu2010aromaticisland,Gupta_2021].