Main Concept
Machine Learning is a field of Artificial Intelligence that focuses on systems that can “learn” from data and make predictions or decisions based on that data. Machine Learning models are trained using data instead of programming explicit rules. Once trained, the model can predict or make decisions for new, unseen data.
Context
- Traditional programming requires humans to explicitly define rules for every scenario, (
IF condition THEN action), however many real-world problems are too complex for explicit rules. - Machine Learning flips the paradigm: Instead of programming rules, we provide examples and let the system discover the patterns.
Key Aspects
- Machine Learning needs data, generally a big amount of it.
- Machine Learning techniques includes in Supervised Learning and Unsupervised Learning.
- Time Series Techniques and Ensemble Methods are also in the field of Machine Learning.