Published by Guna on January 29, 2025 At the heart of machine learning lie fundamental concepts such as data, algorithms, models, training, and evaluation. Data serves as the lifeblood, fuelling the learning process. High-quality, diverse, and representative datasets are crucial for training effective models. Algorithms, the mathematical instructions that guide the learning process, encompass various approaches. Supervised learning, for instance, involves training models on labelled data, providing the algorithm with both input and the corresponding output.