Embark on a journey into Machine Learning designed for absolute beginners. Start with the rise of Artificial Intelligence, exploring its evolution and key concepts like classical programming versus ML, deep learning, and applied versus generalized AI. Gain insight into why AI has become so impactful in today’s world. Next, dive into the classifications of Machine Learning systems, including supervised, unsupervised, and reinforcement learning. Concepts like regression, clustering, and dimensionality reduction are explained simply, with practical examples to make them accessible. You’ll also learn how ML models are trained, aiming for generalization and real-world applications. Finally, discover the power of generative AI and its transformative potential. From neural networks and large language models to common challenges like bias and security, you’ll explore both its opportunities and limitations. By the end, you’ll have a solid understanding of Machine Learning and how it applies to the evolving AI landscape.