University of Michigan - Ann Arbor

- Supervised statistical learning
- Unsupervised statistical learning
- Time series learning
- Semi-Supervised learning

Types of statistical learning

Unsupervised machine learning methods find structure in unlabeled data.
They are used when we DON'T have prior knowledge about the categories.

Unsupervised statistical learning

Semi-supervised learning lies somewhere between supervised and unsupervised learning. It takes small amount of labeled data to start learning and then moves on to huge quantity of unlabaled data to develop further.

Semi Supervised learning

Training a model using labeled data and using this model to predict the labels for new data is known as __________.

Modeling the features of an unlabeled dataset to find hidden structure is known as _____.

A time series is a set of measurements of a quantitative variable taken at sequential intervals over a continuous period of time. This approach allows researchers to track trends and ongoing changes within a specific domain, such as recording a factory's weekly worker productivity over an entire year.

Time Series

Supervised learning is a method for learning a mapping from inputs x to outputs y from labeled examples (x, y). Common supervised learning algorithms include linear regression, logistic regression, and neural networks.

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