Machine learning (ML) Overview _ Day 1
What is Machine Learning? Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data and make decisions without being explicitly programmed. By identifying patterns and correlations in data, ML models can perform tasks such as prediction, classification, and optimization. For instance, Netflix uses machine learning to recommend shows and movies based on a user’s viewing history. ML has revolutionized fields like healthcare, finance, e-commerce, and robotics by automating complex decision-making processes and enabling systems to adapt to new information. The fundamental idea of machine learning is that machines can improve their performance over time by learning from data. Instead of hardcoding specific rules, ML algorithms create models that adjust themselves to improve accuracy and efficiency through experience. What is Deep Learning? Deep Learning (DL) is a specialized subset of machine learning inspired by the structure and functioning of the human brain. It uses artificial neural networks (ANNs) with multiple layers (hence the term “deep”) to process and analyze large volumes of complex data. Deep learning is particularly effective for tasks such as image and speech recognition, natural language processing, and autonomous driving. Compared to traditional machine learning, which often relies on manual feature...
