Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. In simple words, ML teaches the systems to think and understand like humans by learning from the data. ML encompasses a broader range of algorithms, including shallow and deep models. To summarize, AI is the broadest concept encompassing the field of creating intelligent machines, while ML is a subset of AI that focuses on learning from data. DL, in turn, is a specialized area within ML that emphasizes deep neural networks. Explore a comprehensive AI/ML Roadmap to guide beginners in 2025. Learn about AI and Machine Learning concepts, tools, and skills to help you succeed in the field. The AI-ML-DS Interview Series is an essential resource designed for individuals aspiring to start or switch careers in the fields of Artificial Intelligence (AI), Machine Learning (ML) and Data Science (DS).
