# Supervised Machine Learning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/supervised-machine-learning

Supervised machine learning is a branch of AI in which algorithms learn to map inputs to outputs using labeled training data, such as predicting house prices from historical sales or classifying emails as spam. Data scientists and machine learning engineers use techniques like regression, decision trees, support vector machines, and neural networks within this paradigm. It is the most widely used form of machine learning in industry applications like fraud detection, recommendation systems, and image recognition.

Related skills: [TensorFlow](https://career.thegoodapps.co/skills/tensorflow), [Deep Learning](https://career.thegoodapps.co/skills/deep-learning), [scikit-learn](https://career.thegoodapps.co/skills/scikit-learn), [Feature Engineering](https://career.thegoodapps.co/skills/feature-engineering), [Model Evaluation](https://career.thegoodapps.co/skills/model-evaluation), [Unsupervised Learning](https://career.thegoodapps.co/skills/unsupervised-learning)

## Open roles requiring Supervised Machine Learning (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.