Welcome to my Machine Learning notes and concepts.
Topics
- Supervised Learning - An algorithm is trained on labeled input-output pairs to learn how to predict outcomes for new, unseen data.
- Unsupervised Learning - An algorithms analyze unlabeled data to discover hidden patterns, groupings, or structures without predefined categories.
- Deep Learning - A subset of machine learning that uses multilayered neural networks to automatically learn complex patterns and representations from large amounts of data.
- Model Evaluation - Various model evaluating metrics, techniques, and methods
- Artificial Intelligence - The simulation of human-like reasoning, learning, and decision-making by machines to solve complex problems and adapt to new information.