Data → Machine Learning & AI
Machine Learning
A field of computing where systems learn patterns from data to make predictions, classifications, or decisions.
Motivation
Machine learning solves the problem of building behavior from data when rules are too complex to write manually.
Where it fits
It belongs to product domains and AI applications, but it relies on statistics, data pipelines, optimization, and software systems.
Mental model
Instead of hand-coding every rule, you train a model from examples and use it to make predictions or decisions.
Important details
The core loop is data collection, training, evaluation, deployment, and monitoring.
Common mistakes
- Treating the model as the whole product.
- Ignoring data quality, evaluation, and monitoring.